Valid HTML 4.0! Valid CSS!
%%% -*-BibTeX-*-
%%% ====================================================================
%%%  BibTeX-file{
%%%     author          = "Nelson H. F. Beebe",
%%%     version         = "1.03",
%%%     date            = "01 March 2022",
%%%     time            = "16:40:28 MST",
%%%     filename        = "toch.bib",
%%%     address         = "University of Utah
%%%                        Department of Mathematics, 110 LCB
%%%                        155 S 1400 E RM 233
%%%                        Salt Lake City, UT 84112-0090
%%%                        USA",
%%%     telephone       = "+1 801 581 5254",
%%%     FAX             = "+1 801 581 4148",
%%%     URL             = "http://www.math.utah.edu/~beebe",
%%%     checksum        = "53518 2392 10603 103339",
%%%     email           = "beebe at math.utah.edu, beebe at acm.org,
%%%                        beebe at computer.org (Internet)",
%%%     codetable       = "ISO/ASCII",
%%%     keywords        = "ACM Transactions on Computing for Healthcare
%%%                        (HEALTH); bibliography; BibTeX",
%%%     license         = "public domain",
%%%     supported       = "yes",
%%%     docstring       = "This is a COMPLETE BibTeX bibliography for
%%%                        ACM Transactions on Computing for Healthcare
%%%                        (HEALTH) (CODEN ????, ISSN 2691-1914 (print),
%%%                        2577-6207 (electronic)).  The journal appears
%%%                        quarterly, and publication began with volume
%%%                        1, number 1, in February 2020.
%%%
%%%                        At version 1.03, the COMPLETE journal
%%%                        coverage looked like this:
%%%
%%%                             2020 (  26)    2021 (  36)    2022 (  13)
%%%
%%%                             Article:         75
%%%
%%%                             Total entries:   75
%%%
%%%                        The journal Web page can be found at:
%%%
%%%                            https://dl.acm.org/journal/health
%%%
%%%                        The journal table of contents page is at:
%%%
%%%                            https://dl.acm.org/loi/health
%%%
%%%                        Qualified subscribers can retrieve the full
%%%                        text of recent articles in PDF form.
%%%
%%%                        The initial draft was extracted from the ACM
%%%                        Web pages.
%%%
%%%                        ACM copyrights explicitly permit abstracting
%%%                        with credit, so article abstracts, keywords,
%%%                        and subject classifications have been
%%%                        included in this bibliography wherever
%%%                        available.  Article reviews have been
%%%                        omitted, until their copyright status has
%%%                        been clarified.
%%%
%%%                        URL keys in the bibliography point to
%%%                        World Wide Web locations of additional
%%%                        information about the entry.
%%%
%%%                        BibTeX citation tags are uniformly chosen
%%%                        as name:year:abbrev, where name is the
%%%                        family name of the first author or editor,
%%%                        year is a 4-digit number, and abbrev is a
%%%                        3-letter condensation of important title
%%%                        words. Citation tags were automatically
%%%                        generated by software developed for the
%%%                        BibNet Project.
%%%
%%%                        In this bibliography, entries are sorted in
%%%                        publication order, using ``bibsort -byvolume.''
%%%
%%%                        The checksum field above contains a CRC-16
%%%                        checksum as the first value, followed by the
%%%                        equivalent of the standard UNIX wc (word
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%%%                        characters.  This is produced by Robert
%%%                        Solovay's checksum utility.",
%%%  }
%%% ====================================================================
@Preamble{"\input bibnames.sty" #
    "\ifx \undefined \booktitle  \def \booktitle #1{{{\em #1}}}    \fi" #
    "\ifx \undefined \TM         \def \TM          {${}^{\sc TM}$} \fi"
}

%%% ====================================================================
%%% Acknowledgement abbreviations:
@String{ack-nhfb = "Nelson H. F. Beebe,
                    University of Utah,
                    Department of Mathematics, 110 LCB,
                    155 S 1400 E RM 233,
                    Salt Lake City, UT 84112-0090, USA,
                    Tel: +1 801 581 5254,
                    FAX: +1 801 581 4148,
                    e-mail: \path|beebe@math.utah.edu|,
                            \path|beebe@acm.org|,
                            \path|beebe@computer.org| (Internet),
                    URL: \path|http://www.math.utah.edu/~beebe/|"}

%%% ====================================================================
%%% Journal abbreviations:
@String{j-TOCH                  = "ACM Transactions on Computing for Healthcare
                                  (HEALTH)"}

%%% ====================================================================
%%% Bibliography entries:
@Article{Stankovic:2020:IIE,
  author =       "John A. Stankovic and Insup Lee",
  title =        "Inaugural Issue Editorial",
  journal =      j-TOCH,
  volume =       "1",
  number =       "1",
  pages =        "1:1--1:1",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3375711",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3375711",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Mahajan:2020:THW,
  author =       "Aman Mahajan and Gregory Pottie and William Kaiser",
  title =        "Transformation in Healthcare by Wearable Devices for
                 Diagnostics and Guidance of Treatment",
  journal =      j-TOCH,
  volume =       "1",
  number =       "1",
  pages =        "2:1--2:12",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3361561",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3361561",
  abstract =     "Wearable devices offer a promise of immense impact on
                 worldwide global health by offering the potential for
                 non-invasive, constantly vigilant, and low-cost
                 monitoring of individual condition and fundamental
                 advances in guiding healthcare. The urgency of
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Bellot:2020:FML,
  author =       "Alexis Bellot and Mihaela {Van Der Schaar}",
  title =        "Flexible Modelling of Longitudinal Medical Data: a
                 {Bayesian} Nonparametric Approach",
  journal =      j-TOCH,
  volume =       "1",
  number =       "1",
  pages =        "3:1--3:15",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3377164",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3377164",
  abstract =     "Using electronic medical records to learn personalized
                 risk trajectories poses significant challenges because
                 often very few samples are available in a patient's
                 history, and, when available, their information content
                 is highly diverse. In this article, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Nosakhare:2020:TAR,
  author =       "Ehimwenma Nosakhare and Rosalind Picard",
  title =        "Toward Assessing and Recommending Combinations of
                 Behaviors for Improving Health and Well-Being",
  journal =      j-TOCH,
  volume =       "1",
  number =       "1",
  pages =        "4:1--4:29",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3368958",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3368958",
  abstract =     "Multiple behaviors typically work together to
                 influence health, making it hard to understand how one
                 behavior might compensate for another. Rich multi-modal
                 datasets from mobile sensors and advances in machine
                 learning are today enabling new kinds of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Li:2020:FSM,
  author =       "Dingwen Li and Jay Vaidya and Michael Wang and Ben
                 Bush and Chenyang Lu and Marin Kollef and Thomas
                 Bailey",
  title =        "Feasibility Study of Monitoring Deterioration of
                 Outpatients Using Multimodal Data Collected by
                 Wearables",
  journal =      j-TOCH,
  volume =       "1",
  number =       "1",
  pages =        "5:1--5:22",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3344256",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3344256",
  abstract =     "In the article, we explore the feasibility of
                 monitoring outpatients using Fitbit Charge HR
                 wristbands and the potential of machine learning models
                 to predict clinical deterioration (readmissions and
                 death) among outpatients discharged from the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Jin:2020:CIC,
  author =       "Zhuochen Jin and Shuyuan Cui and Shunan Guo and David
                 Gotz and Jimeng Sun and Nan Cao",
  title =        "{CarePre}: an Intelligent Clinical Decision Assistance
                 System",
  journal =      j-TOCH,
  volume =       "1",
  number =       "1",
  pages =        "6:1--6:20",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3344258",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3344258",
  abstract =     "Clinical decision support systems are widely used to
                 assist with medical decision making. However, clinical
                 decision support systems typically require manually
                 curated rules and other data that are difficult to
                 maintain and keep up to date. Recent \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Amiri:2020:CAS,
  author =       "Delaram Amiri and Arman Anzanpour and Iman Azimi and
                 Marco Levorato and Pasi Liljeberg and Nikil Dutt and
                 Amir M. Rahmani",
  title =        "Context-Aware Sensing via Dynamic Programming for
                 Edge-Assisted Wearable Systems",
  journal =      j-TOCH,
  volume =       "1",
  number =       "2",
  pages =        "7:1--7:25",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351286",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351286",
  abstract =     "Healthcare applications supported by the Internet of
                 Things enable personalized monitoring of a patient in
                 everyday settings. Such applications often consist of
                 battery-powered sensors coupled to smart gateways at
                 the edge layer. Smart gateways offer \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "7",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Mishra:2020:CDP,
  author =       "Varun Mishra and Gunnar Pope and Sarah Lord and
                 Stephanie Lewia and Byron Lowens and Kelly Caine and
                 Sougata Sen and Ryan Halter and David Kotz",
  title =        "Continuous Detection of Physiological Stress with
                 Commodity Hardware",
  journal =      j-TOCH,
  volume =       "1",
  number =       "2",
  pages =        "8:1--8:30",
  month =        apr,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3361562",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Wed Jul 8 18:08:11 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3361562",
  abstract =     "Timely detection of an individual's stress level has
                 the potential to improve stress management, thereby
                 reducing the risk of adverse health consequences that
                 may arise due to mismanagement of stress. Recent
                 advances in wearable sensing have resulted in
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "8",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Sun:2020:HPT,
  author =       "Xuetong Sun and Sarah B. Murthi and Gary Schwartzbauer
                 and Amitabh Varshney",
  title =        "High-Precision {5DoF} Tracking and Visualization of
                 Catheter Placement in {EVD} of the Brain Using {AR}",
  journal =      j-TOCH,
  volume =       "1",
  number =       "2",
  pages =        "9:1--9:18",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3365678",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3365678",
  abstract =     "External ventricular drainage (EVD) is a high-risk
                 medical procedure that involves inserting a catheter
                 inside a patient's skull, through the brain and into a
                 ventricle, to drain cerebrospinal fluid and thus
                 relieve elevated intracranial pressure. Once \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "9",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Yom-Tov:2020:SCU,
  author =       "Elad Yom-Tov",
  title =        "Screening for Cancer Using a Learning {Internet}
                 Advertising System",
  journal =      j-TOCH,
  volume =       "1",
  number =       "2",
  pages =        "10:1--10:13",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3373720",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3373720",
  abstract =     "Studies have shown that search engine queries are
                 indicative of future diagnosis of several types of
                 cancer. These studies were based on self-identification
                 of illness and were limited in that diagnostic
                 information could not be shared with screened
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "10",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Meyer:2020:LDC,
  author =       "Jochen Meyer and Judy Kay and Daniel A. Epstein and
                 Parisa Eslambolchilar and Lie Ming Tang",
  title =        "A Life of Data: Characteristics and Challenges of Very
                 Long Term Self-Tracking for Health and Wellness",
  journal =      j-TOCH,
  volume =       "1",
  number =       "2",
  pages =        "11:1--11:4",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3373719",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3373719",
  abstract =     "As self-tracking has evolved from a niche movement to
                 a mass-market phenomenon, it has become possible for
                 people to track a broad range of activities and vital
                 parameters over years, even decades. The associated
                 opportunities, as well as the challenges,. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "11",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Wang:2020:CBV,
  author =       "Xuyu Wang and Chao Yang and Shiwen Mao",
  title =        "On {CSI}-Based Vital Sign Monitoring Using Commodity
                 {WiFi}",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "12:1--12:27",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3377165",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3377165",
  abstract =     "Vital signs, such as respiration and heartbeat, are
                 useful for health monitoring because such signals
                 provide important clues of medical conditions.
                 Effective solutions are needed to provide contact-free,
                 easy deployment, low-cost, and long-term vital
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "12",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Chikka:2020:CCM,
  author =       "Veera Raghavendra Chikka and Kamalakar Karlapalem",
  title =        "Conformance Checking Methodology Across Discharge
                 Summaries and Standard Treatment Guidelines",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "13:1--13:19",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3377328",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3377328",
  abstract =     "Conformance checking of treatment plans in discharge
                 summary data would facilitate the development of
                 clinical decision support system, treatment plan
                 quality assurance, and new treatment plan discovery.
                 Conformance checking requires extraction of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "13",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Bhatia:2020:IIS,
  author =       "Munish Bhatia and Simranpreet Kaur and Sandeep K.
                 Sood",
  title =        "{IoT}-Inspired Smart Toilet System for Home-Based
                 Urine Infection Prediction",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "14:1--14:25",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3379506",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3379506",
  abstract =     "The healthcare industry is the premier domain that has
                 been significantly influenced by incorporation of
                 Internet of Things (IoT) technology resulting in smart
                 healthcare application. Inspired by the enormous
                 potential of IoT technology, this research \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "14",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Goldstein:2020:TFF,
  author =       "Orpaz Goldstein and Mohammad Kachuee and Kimmo
                 Karkkainen and Majid Sarrafzadeh",
  title =        "Target-Focused Feature Selection Using Uncertainty
                 Measurements in Healthcare Data",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "15:1--15:17",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3383685",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3383685",
  abstract =     "Healthcare big data remains under-utilized due to
                 various incompatibility issues between the domains of
                 data analytics and healthcare. The lack of
                 generalizable iterative feature acquisition methods
                 under budget and machine learning models that allow
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "15",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Herrlich:2020:PNT,
  author =       "Marc Herrlich and Anke V. Reinschluessel and Markus
                 Willems and Nils Langhorst and David Black and Tanja
                 D{\"o}ring and Christian Rieder and Ron Kikinis and
                 Rainer Malaka",
  title =        "Put That Needle There: Customized Flexible On-Body
                 Thin-Film Displays for Medical Navigation",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "16:1--16:17",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3386307",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3386307",
  abstract =     "Informed by modern imaging techniques, current medical
                 navigation systems support physicians during a variety
                 of interventions, such as needle-based operations.
                 During these, an abundance of information is often
                 displayed on monitors placed in positions \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "16",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Thambawita:2020:ESC,
  author =       "Vajira Thambawita and Debesh Jha and Hugo Lewi Hammer
                 and H{\aa}vard D. Johansen and Dag Johansen and P{\aa}l
                 Halvorsen and Michael A. Riegler",
  title =        "An Extensive Study on Cross-Dataset Bias and
                 Evaluation Metrics Interpretation for Machine Learning
                 Applied to Gastrointestinal Tract Abnormality
                 Classification",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "17:1--17:29",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3386295",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3386295",
  abstract =     "Precise and efficient automated identification of
                 gastrointestinal (GI) tract diseases can help doctors
                 treat more patients and improve the rate of disease
                 detection and identification. Currently, automatic
                 analysis of diseases in the GI tract is a hot
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "17",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Hussein:2020:ADA,
  author =       "Amir Hussein and Marc Djandji and Reem A. Mahmoud and
                 Mohamad Dhaybi and Hazem Hajj",
  title =        "Augmenting {DL} with Adversarial Training for Robust
                 Prediction of Epilepsy Seizures",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "18:1--18:18",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3386580",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3386580",
  abstract =     "Epilepsy is a chronic medical condition that involves
                 abnormal brain activity causing patients to lose
                 control of awareness or motor activity. As a result,
                 detection of pre-ictal states, before the onset of a
                 seizure, can be lifesaving. The problem is \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "18",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kotz:2020:ISI,
  author =       "David Kotz and Guoliang Xing",
  title =        "Introduction to the Special Issue on the Wearable
                 Technologies for Smart Health",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "19:1--19:2",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3423967",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3423967",
  acknowledgement = ack-nhfb,
  articleno =    "19",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Wang:2020:EAE,
  author =       "Zhu Wang and Zhiwen Yu and Bobo Zhao and Bin Guo and
                 Chao Chen and Zhiyong Yu",
  title =        "{EmotionSense}: an Adaptive Emotion Recognition System
                 Based on Wearable Smart Devices",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "20:1--20:17",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3384394",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3384394",
  abstract =     "With the recent surge of smart wearable devices, it is
                 possible to obtain the physiological and behavioral
                 data of human beings in a more convenient and
                 non-invasive manner. Based on such data, researchers
                 have developed a variety of systems or \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "20",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Aggarwal:2020:PDU,
  author =       "Deepti Aggarwal and Bernd Ploderer and Thuong Hoang
                 and Frank Vetere and Mark Bradford",
  title =        "Physiotherapy Over a Distance: The Use of Wearable
                 Technology for Video Consultations in Hospital
                 Settings",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "21:1--21:29",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3383305",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3383305",
  abstract =     "Wearable technologies offer potential in supporting
                 assessment of lower limb movements in video
                 consultations, which otherwise are challenging to
                 assess. Yet there remains a limited understanding of
                 how such technologies can be used to improve video
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "21",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Elor:2020:SSC,
  author =       "Aviv Elor and Michael Powell and Evanjelin Mahmoodi
                 and Nico Hawthorne and Mircea Teodorescu and Sri
                 Kurniawan",
  title =        "On Shooting Stars: Comparing {CAVE} and {HMD}
                 Immersive Virtual Reality Exergaming for Adults with
                 Mixed Ability",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "22:1--22:22",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3396249",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3396249",
  abstract =     "Inactivity and a lack of engagement with exercise is a
                 pressing health problem in the United States and
                 beyond. Immersive Virtual Reality (iVR) is a promising
                 medium to motivate users through engaging virtual
                 environments. Currently, modern iVR lacks a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "22",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Li:2020:MER,
  author =       "Chun-Tung Li and Jiannong Cao and Xue Liu and Milos
                 Stojmenovic",
  title =        "{mSIMPAD}: Efficient and Robust Mining of Successive
                 Similar Patterns of Multiple Lengths in Time Series",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "23:1--23:19",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3396250",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3396250",
  abstract =     "A successive similar pattern (SSP) is a series of
                 similar sequences that occur consecutively at
                 non-regular intervals in time series. Mining SSPs could
                 provide valuable information without a priori
                 knowledge, which is crucial in many applications
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "23",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Sharma:2020:IWR,
  author =       "Surya Sharma and Phillip Jasper and Eric Muth and Adam
                 Hoover",
  title =        "The Impact of Walking and Resting on Wrist Motion for
                 Automated Detection of Meals",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "24:1--24:19",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3407623",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3407623",
  abstract =     "This article considers detecting eating in free-living
                 humans by tracking wrist motion. We are specifically
                 interested in the effect of secondary activities that
                 people conduct while simultaneously eating, such as
                 walking, watching television, or \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "24",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Vargemidis:2020:WPA,
  author =       "Dimitri Vargemidis and Kathrin Gerling and Katta Spiel
                 and Vero {Vanden Abeele} and Luc Geurts",
  title =        "Wearable Physical Activity Tracking Systems for Older
                 Adults --- a Systematic Review",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "25:1--25:37",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3402523",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3402523",
  abstract =     "Physical activity (PA) positively impacts the quality
                 of life of older adults, with technology as a promising
                 factor in maintaining motivation. Within Computer
                 Science and Engineering, research investigates how to
                 track PA of older adults for various \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "25",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Makitalo:2020:HDM,
  author =       "Niko M{\"a}kitalo and Daniel Flores-Martin and Huber
                 Flores and Eemil Lagerspetz and Francois Christophe and
                 Petri Ihantola and Masiar Babazadeh and Pan Hui and
                 Juan Manuel Murillo and Sasu Tarkoma and Tommi
                 Mikkonen",
  title =        "Human Data Model: Improving Programmability of Health
                 and Well-Being Data for Enhanced Perception and
                 Interaction",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "26:1--26:39",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3402524",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3402524",
  abstract =     "Today, an increasing number of systems produce,
                 process, and store personal and intimate data. Such
                 data has plenty of potential for entirely new types of
                 software applications, as well as for improving old
                 applications, particularly in the domain of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "26",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kotz:2021:ISI,
  author =       "David Kotz and Guoliang Xing",
  title =        "Introduction to the Special Issue on the Wearable
                 Technologies for Smart Health, {Part 2}",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "1:1--1:2",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3442350",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3442350",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Khan:2021:GES,
  author =       "Aftab Khan and Sebastian Mellor and Rachel King and
                 Balazs Janko and William Harwin and R. Simon Sherratt
                 and Ian Craddock and Thomas Pl{\"o}tz",
  title =        "Generalized and Efficient Skill Assessment from {IMU}
                 Data with Applications in Gymnastics and Medical
                 Training",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "2:1--2:21",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3422168",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3422168",
  abstract =     "Human activity recognition is progressing from
                 automatically determining what a person is doing and
                 when, to additionally analyzing the quality of these
                 activities-typically referred to as skill assessment.
                 In this chapter, we propose a new framework \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Jourdan:2021:PPI,
  author =       "Theo Jourdan and Antoine Boutet and Amine Bahi and
                 Carole Frindel",
  title =        "Privacy-preserving {IoT} Framework for Activity
                 Recognition in Personal Healthcare Monitoring",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "3:1--3:22",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3416947",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3416947",
  abstract =     "The increasing popularity of wearable consumer
                 products can play a significant role in the healthcare
                 sector. The recognition of human activities from IoT is
                 an important building block in this context. While the
                 analysis of the generated datastream can \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Khan:2021:PCA,
  author =       "Aftab Khan and Alexandros Zenonos and Georgios
                 Kalogridis and Yaowei Wang and Stefanos Vatsikas and
                 Mahesh Sooriyabandara",
  title =        "Perception Clusters: Automated Mood Recognition Using
                 a Novel Cluster-Driven Modelling System",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "4:1--4:16",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3422819",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3422819",
  abstract =     "Automated mood recognition has been studied in recent
                 times with great emphasis on stress in particular.
                 Other affective states are also of great importance, as
                 studying them can help in understanding human
                 behaviours in more detail. Most of the studies
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Mauldin:2021:EDL,
  author =       "Taylor Mauldin and Anne H. Ngu and Vangelis Metsis and
                 Marc E. Canby",
  title =        "Ensemble Deep Learning on Wearables Using Small
                 Datasets",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "5:1--5:30",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3428666",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3428666",
  abstract =     "This article presents an in-depth experimental study
                 of Ensemble Deep Learning techniques on small datasets
                 for the analysis of time-series data generated by
                 wearable devices. Deep Learning networks generally
                 require large datasets for training. In some \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Chuan:2021:CEC,
  author =       "Ching-Hua Chuan and Susan Morgan",
  title =        "Creating and Evaluating Chatbots as Eligibility
                 Assistants for Clinical Trials: an Active Deep Learning
                 Approach towards User-centered Classification",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "6:1--6:19",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3403575",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3403575",
  abstract =     "Clinical trials are important tools to improve
                 knowledge about the effectiveness of new treatments for
                 all diseases, including cancers. However, studies show
                 that fewer than 5\% of cancer patients are enrolled in
                 any type of research study or clinical \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{vanBerkel:2021:DVM,
  author =       "Niels van Berkel and Omer F. Ahmad and Danail Stoyanov
                 and Laurence Lovat and Ann Blandford",
  title =        "Designing Visual Markers for Continuous Artificial
                 Intelligence Support: a Colonoscopy Case Study",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "7:1--7:24",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3422156",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3422156",
  abstract =     "Colonoscopy, the visual inspection of the large bowel
                 using an endoscope, offers protection against
                 colorectal cancer by allowing for the detection and
                 removal of pre-cancerous polyps. The literature on
                 polyp detection shows widely varying miss rates
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "7",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kumar:2021:MWS,
  author =       "Devender Kumar and Steven Jeuris and Jakob E. Bardram
                 and Nicola Dragoni",
  title =        "Mobile and Wearable Sensing Frameworks for {mHealth}
                 Studies and Applications: a Systematic Review",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "8:1--8:28",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3422158",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3422158",
  abstract =     "With the widespread use of smartphones and wearable
                 health sensors, a plethora of mobile health (mHealth)
                 applications to track well-being, run human behavioral
                 studies, and clinical trials have emerged in recent
                 years. However, the design, development, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "8",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Hurley:2021:SCO,
  author =       "Nathan C. Hurley and Erica S. Spatz and Harlan M.
                 Krumholz and Roozbeh Jafari and Bobak J. Mortazavi",
  title =        "A Survey of Challenges and Opportunities in Sensing
                 and Analytics for Risk Factors of Cardiovascular
                 Disorders",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "9:1--9:42",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3417958",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3417958",
  abstract =     "Cardiovascular disorders cause nearly one in three
                 deaths in the United States. Short- and long-term care
                 for these disorders is often determined in short-term
                 settings. However, these decisions are made with
                 minimal longitudinal and long-term data. To \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "9",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Tran:2021:AGG,
  author =       "Tung Tran and Ramakanth Kavuluru and Halil Kilicoglu",
  title =        "Attention-Gated Graph Convolutions for Extracting Drug
                 Interaction Information from Drug Labels",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "10:1--10:19",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3423209",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3423209",
  abstract =     "Preventable adverse events as a result of medical
                 errors present a growing concern in the healthcare
                 system. As drug-drug interactions (DDIs) may lead to
                 preventable adverse events, being able to extract DDIs
                 from drug labels into a machine-processable \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "10",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Chen:2021:ECE,
  author =       "Dawei Chen and Jiangtao Wang and Wenjie Ruan and Qiang
                 Ni and Sumi Helal",
  title =        "Enabling Cost-Effective Population Health Monitoring
                 By Exploiting Spatiotemporal Correlation: an Empirical
                 Study",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "11:1--11:19",
  month =        apr,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3428665",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3428665",
  abstract =     "Because of its important role in health
                 policy-shaping, population health monitoring (PHM) is
                 considered a fundamental block for public health
                 services. However, traditional public health data
                 collection approaches, such as clinic-visit-based data
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "11",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Akbari:2021:DDC,
  author =       "Ali Akbari and Reese Grimsley and Roozbeh Jafari",
  title =        "Data-driven Context Detection Leveraging Passively
                 Sensed Nearables for Recognizing Complex Activities of
                 Daily Living",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "12:1--12:22",
  month =        apr,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3428664",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3428664",
  abstract =     "Wearable systems have unlocked new sensing paradigms
                 in various applications such as human activity
                 recognition, which can enhance effectiveness of mobile
                 health applications. Current systems using wearables
                 are not capable of understanding their \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "12",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Aziz:2021:OAD,
  author =       "Md Momin {Al Aziz} and Shahin Kamali and Noman
                 Mohammed and Xiaoqian Jiang",
  title =        "Online Algorithm for Differentially Private
                 Genome-wide Association Studies",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "13:1--13:27",
  month =        apr,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3431504",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3431504",
  abstract =     "Digitization of healthcare records contributed to a
                 large volume of functional scientific data that can
                 help researchers to understand the behaviour of many
                 diseases. However, the privacy implications of this
                 data, particularly genomics data, have \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "13",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kristiansen:2021:MLS,
  author =       "Stein Kristiansen and Konstantinos Nikolaidis and
                 Thomas Plagemann and Vera Goebel and Gunn Marit Traaen
                 and Britt {\O}verland and Lars Aaker{\o}y and
                 Tove-Elizabeth Hunt and Jan P{\aa}l Loennechen and
                 Sigurd Loe Steinshamn and Christina Holt Bendz and
                 Ole-Gunnar Anfinsen and Lars Gullestad and Harriet
                 Akre",
  title =        "Machine Learning for Sleep Apnea Detection with
                 Unattended Sleep Monitoring at Home",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "14:1--14:25",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3433987",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3433987",
  abstract =     "Sleep apnea is a common and strongly under-diagnosed
                 severe sleep-related respiratory disorder with periods
                 of disrupted or reduced breathing during sleep. To
                 diagnose sleep apnea, sleep data are collected with
                 either polysomnography or polygraphy and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "14",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Wang:2021:SSB,
  author =       "Xuyu Wang and Runze Huang and Chao Yang and Shiwen
                 Mao",
  title =        "Smartphone Sonar-Based Contact-Free Respiration Rate
                 Monitoring",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "15:1--15:26",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3436822",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3436822",
  abstract =     "Vital sign (e.g., respiration rate) monitoring has
                 become increasingly more important because it offers
                 useful clues about medical conditions such as sleep
                 disorders. There is a compelling need for technologies
                 that enable contact-free and easy \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "15",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Verreydt:2021:SPR,
  author =       "Stef Verreydt and Koen Yskout and Wouter Joosen",
  title =        "Security and Privacy Requirements for Electronic
                 Consent: a Systematic Literature Review",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "16:1--16:24",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3433995",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3433995",
  abstract =     "Electronic consent (e-consent) has the potential to
                 solve many paper-based consent approaches. Existing
                 approaches, however, face challenges regarding privacy
                 and security. This literature review aims to provide an
                 overview of privacy and security \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "16",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Rissola:2021:SCM,
  author =       "Esteban A. R{\'\i}ssola and David E. Losada and Fabio
                 Crestani",
  title =        "A Survey of Computational Methods for Online Mental
                 State Assessment on Social Media",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "17:1--17:31",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3437259",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3437259",
  abstract =     "Mental state assessment by analysing user-generated
                 content is a field that has recently attracted
                 considerable attention. Today, many people are
                 increasingly utilising online social media platforms to
                 share their feelings and moods. This provides a
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "17",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Reichert:2021:SAC,
  author =       "Leonie Reichert and Samuel Brack and Bj{\"O}RN
                 Scheuermann",
  title =        "A Survey of Automatic Contact Tracing Approaches Using
                 {Bluetooth} Low Energy",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "18:1--18:33",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3444847",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3444847",
  abstract =     "To combat the ongoing Covid-19 pandemic, many new ways
                 have been proposed on how to automate the process of
                 finding infected people, also called contact tracing. A
                 special focus was put on preserving the privacy of
                 users. Bluetooth Low Energy as base \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "18",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Yarlagadda:2021:SAC,
  author =       "Sri Kalyan Yarlagadda and Daniel Mas Montserrat and
                 David G{\"u}era and Carol J. Boushey and Deborah A.
                 Kerr and Fengqing Zhu",
  title =        "Saliency-Aware Class-Agnostic Food Image
                 Segmentation",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "19:1--19:17",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3440274",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3440274",
  abstract =     "Advances in image-based dietary assessment methods
                 have allowed nutrition professionals and researchers to
                 improve the accuracy of dietary assessment, where
                 images of food consumed are captured using smartphones
                 or wearable devices. These images are \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "19",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Wan:2021:SBE,
  author =       "Cheng Wan and Andrew W. Mchill and Elizabeth B.
                 Klerman and Akane Sano",
  title =        "Sensor-Based Estimation of Dim Light Melatonin Onset
                 Using Features of Two Time Scales",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "20:1--20:15",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3447516",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3447516",
  abstract =     "Circadian rhythms influence multiple essential
                 biological activities, including sleep, performance,
                 and mood. The dim light melatonin onset (DLMO) is the
                 gold standard for measuring human circadian phase
                 (i.e., timing). The collection of DLMO is \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "20",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Harris:2021:FGS,
  author =       "Jonathan J. Harris and Ching-Hua Chen and Mohammed J.
                 Zaki",
  title =        "A Framework for Generating Summaries from Temporal
                 Personal Health Data",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "21:1--21:43",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448672",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448672",
  abstract =     "Although it has become easier for individuals to track
                 their personal health data (e.g., heart rate, step
                 count, and nutrient intake data), there is still a wide
                 chasm between the collection of data and the generation
                 of meaningful summaries to help \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "21",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Wu:2021:EDH,
  author =       "Wenlong Wu and James M. Keller and Marjorie Skubic and
                 Mihail Popescu and Kari R. Lane",
  title =        "Early Detection of Health Changes in the Elderly Using
                 In-Home Multi-Sensor Data Streams",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "22:1--22:23",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448671",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448671",
  abstract =     "The rapid aging of the population worldwide requires
                 increased attention from healthcare providers and the
                 entire society. For the elderly to live independently,
                 many health issues related to old age, such as frailty
                 and risk of falling, need increased \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "22",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Wang:2021:CPP,
  author =       "Chongyang Wang and Temitayo A. Olugbade and Akhil
                 Mathur and Amanda C. DE C. Williams and Nicholas D.
                 Lane and Nadia Bianchi-Berthouze",
  title =        "Chronic Pain Protective Behavior Detection with Deep
                 Learning",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "23:1--23:24",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3449068",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3449068",
  abstract =     "In chronic pain rehabilitation, physiotherapists adapt
                 physical activity to patients' performance based on
                 their expression of protective behavior, gradually
                 exposing them to feared but harmless and essential
                 everyday activities. As rehabilitation moves \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "23",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Chen:2021:FED,
  author =       "Kun-chih (Jimmy) Chen and Po-Chen Chien and Zi-Jie Gao
                 and Chi-Hsun Wu",
  title =        "A Fast {ECG} Diagnosis by Using Non-Uniform Spectral
                 Analysis and the Artificial Neural Network",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "24:1--24:21",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3453174",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3453174",
  abstract =     "The electrocardiogram (ECG) has been proven as an
                 efficient diagnostic tool to monitor the electrical
                 activity of the heart and has become a widely used
                 clinical approach to diagnose heart diseases. In a
                 practical way, the ECG signal can be decomposed
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "24",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Sweeney:2021:CCH,
  author =       "Colm Sweeney and Courtney Potts and Edel Ennis and
                 Raymond Bond and Maurice D. Mulvenna and Siobhan
                 O'neill and Martin Malcolm and Lauri Kuosmanen and
                 Catrine Kostenius and Alex Vakaloudis and Gavin
                 Mcconvey and Robin Turkington and David Hanna and Heidi
                 Nieminen and Anna-Kaisa Vartiainen and Alison Robertson
                 and Michael F. Mctear",
  title =        "Can Chatbots Help Support a {Person}'s Mental Health?
                 Perceptions and Views from Mental Healthcare
                 Professionals and Experts",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "25:1--25:15",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3453175",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3453175",
  abstract =     "The objective of this study was to understand the
                 attitudes of professionals who work in mental health
                 regarding the use of conversational user interfaces, or
                 chatbots, to support people's mental health and
                 wellbeing. This study involves an online \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "25",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kyono:2021:TMI,
  author =       "Trent Kyono and Fiona J. Gilbert and Mihaela {Van Der
                 Schaar}",
  title =        "Triage of {$2$D} Mammographic Images Using Multi-view
                 Multi-task Convolutional Neural Networks",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "26:1--26:24",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3453166",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3453166",
  abstract =     "With an aging and growing population, the number of
                 women receiving mammograms is increasing. However,
                 existing techniques for autonomous diagnosis do not
                 surpass a well-trained radiologist. Therefore, to
                 reduce the number of mammograms that require \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "26",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Newaz:2021:SSP,
  author =       "Akm Iqtidar Newaz and Amit Kumar Sikder and Mohammad
                 Ashiqur Rahman and A. Selcuk Uluagac",
  title =        "A Survey on Security and Privacy Issues in Modern
                 Healthcare Systems: Attacks and Defenses",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "27:1--27:44",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3453176",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3453176",
  abstract =     "Recent advancements in computing systems and wireless
                 communications have made healthcare systems more
                 efficient than before. Modern healthcare devices can
                 monitor and manage different health conditions of
                 patients automatically without any manual \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "27",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Malavazos:2021:NRH,
  author =       "Konstantinos Malavazos and Maria Papadogiorgaki and
                 Pavlos Malakonakis and Ioannis Papaefstathiou",
  title =        "Novel Reconfigurable Hardware Systems for Tumor Growth
                 Prediction",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "28:1--28:27",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3454126",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3454126",
  abstract =     "An emerging trend in biomedical systems research is
                 the development of models that take full advantage of
                 the increasing available computational power to manage
                 and analyze new biological data as well as to model
                 complex biological processes. Such \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "28",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kucukozer-Cavdar:2021:DRM,
  author =       "Seyma Kucukozer-Cavdar and Tugba Taskaya-Temizel and
                 Abhinav Mehrotra and Mirco Musolesi and Peter Tino",
  title =        "Designing Robust Models for Behaviour Prediction Using
                 Sparse Data from Mobile Sensing: a Case Study of Office
                 Workers' Availability for Well-being Interventions",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "29:1--29:33",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3458753",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3458753",
  abstract =     "Understanding in which circumstances office workers
                 take rest breaks is important for delivering effective
                 mobile notifications and make inferences about their
                 daily lifestyle, e.g., whether they are active and/or
                 have a sedentary life. Previous studies \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "29",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Ali:2021:AHP,
  author =       "Mohammad Rafayet Ali and Taylan Sen and Qianyi Li and
                 Raina Langevin and Taylor Myers and E. Ray Dorsey and
                 Saloni Sharma and Ehsan Hoque",
  title =        "Analyzing Head Pose in Remotely Collected Videos of
                 People with {Parkinson}'s Disease",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "30:1--30:13",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3459669",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3459669",
  abstract =     "We developed an intelligent web interface that guides
                 users to perform several Parkinson's disease (PD)
                 motion assessment tests in front of their webcam. After
                 gathering data from 329 participants (N = 199 with PD,
                 N = 130 without PD), we developed a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "30",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Rohani:2021:BUA,
  author =       "Darius A. Rohani and Maria Faurholt-Jepsen and Lars V.
                 Kessing and Jakob E. Bardram",
  title =        "Benefits of Using Activity Recommender Technology for
                 Self-management of Depressive Symptoms",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "31:1--31:21",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3462212",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3462212",
  abstract =     "Behavioral Activation (BA)therapy has shown to be
                 effective in treating depression. Recommending healthy
                 activities is a core principle in Behavioral Activation
                 (BA), which is typically done by the therapist.
                 However, most BA smartphone applications do \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "31",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Bellio:2021:OBA,
  author =       "Maura Bellio and Dominic Furniss and Neil P. Oxtoby
                 and Sara Garbarino and Nicholas C. Firth and Annemie
                 Ribbens and Daniel C. Alexander and Ann Blandford",
  title =        "Opportunities and Barriers for Adoption of a
                 Decision-Support Tool for {Alzheimer}'s Disease",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "32:1--32:19",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3462764",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3462764",
  abstract =     "Clinical decision-support tools (DSTs) represent a
                 valuable resource in healthcare. However, lack of Human
                 Factors considerations and early design research has
                 often limited their successful adoption. To complement
                 previous technically focused work, we \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "32",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Banerjee:2021:BNE,
  author =       "Pratyay Banerjee and Kuntal Kumar Pal and Murthy
                 Devarakonda and Chitta Baral",
  title =        "Biomedical Named Entity Recognition via Knowledge
                 Guidance and Question Answering",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "33:1--33:24",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3465221",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3465221",
  abstract =     "In this work, we formulated the named entity
                 recognition (NER) task as a multi-answer knowledge
                 guided question-answer task (KGQA) and showed that the
                 knowledge guidance helps to achieve state-of-the-art
                 results for 11 of 18 biomedical NER datasets. We
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "33",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Santini:2021:OCV,
  author =       "Simone Santini",
  title =        "Optimal {COVID-19} Vaccination Strategies with Limited
                 Vaccine and Delivery Capabilities: a Model Based on
                 Social Networks",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "34:1--34:16",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3466622",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3466622",
  abstract =     "We develop a model of infection spread that takes into
                 account the existence of a vulnerable group as well as
                 the variability of the social relations of individuals.
                 We develop a compartmentalized power-law model, with
                 power-law connections between the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "34",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Sun:2021:ABD,
  author =       "Zhaohong Sun and Wei Dong and Jinlong Shi and Kunlun
                 He and Zhengxing Huang",
  title =        "Attention-Based Deep Recurrent Model for Survival
                 Prediction",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "35:1--35:18",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3466782",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3466782",
  abstract =     "Survival analysis exhibits profound effects on health
                 service management. Traditional approaches for survival
                 analysis have a pre-assumption on the time-to-event
                 probability distribution and seldom consider sequential
                 visits of patients on medical \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "35",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{BessaDaCosta:2021:PEP,
  author =       "Anderson {Bessa Da Costa} and Larissa Moreira and
                 Daniel {Ciampi De Andrade} and Adriano Veloso and Nivio
                 Ziviani",
  title =        "Predicting the Evolution of Pain Relief: Ensemble
                 Learning by Diversifying Model Explanations",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "36:1--36:28",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3466781",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3466781",
  abstract =     "Modeling from data usually has two distinct facets:
                 building sound explanatory models or creating powerful
                 predictive models for a system or phenomenon. Most of
                 recent literature does not exploit the relationship
                 between explanation and prediction while \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "36",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Devarakonda:2022:ISI,
  author =       "Murthy V. Devarakonda and Ellen M. Voorhees",
  title =        "Introduction to the Special Issue on Computational
                 Methods for Biomedical {NLP}",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "1:1--1:2",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3492302",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3492302",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Gu:2022:DSL,
  author =       "Yu Gu and Robert Tinn and Hao Cheng and Michael Lucas
                 and Naoto Usuyama and Xiaodong Liu and Tristan Naumann
                 and Jianfeng Gao and Hoifung Poon",
  title =        "Domain-Specific Language Model Pretraining for
                 Biomedical Natural Language Processing",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "2:1--2:23",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3458754",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3458754",
  abstract =     "Pretraining large neural language models, such as
                 BERT, has led to impressive gains on many natural
                 language processing (NLP) tasks. However, most
                 pretraining efforts focus on general domain corpora,
                 such as newswire and Web. A prevailing assumption is
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Crovari:2022:GCA,
  author =       "Pietro Crovari and Sara Pid{\`o} and Pietro Pinoli and
                 Anna Bernasconi and Arif Canakoglu and Franca Garzotto
                 and Stefano Ceri",
  title =        "{GeCoAgent}: a Conversational Agent for Empowering
                 Genomic Data Extraction and Analysis",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "3:1--3:29",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3464383",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3464383",
  abstract =     "With the availability of reliable and low-cost DNA
                 sequencing, human genomics is relevant to a growing
                 number of end-users, including biologists and
                 clinicians. Typical interactions require applying
                 comparative data analysis to huge repositories of
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Grani:2022:SPH,
  author =       "Giorgio Grani and Andrea Lenzi and Paola Velardi",
  title =        "Supporting Personalized Health Care With Social Media
                 Analytics: an Application to Hypothyroidism",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "4:1--4:28",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3468781",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3468781",
  abstract =     "Social media analytics can considerably contribute to
                 understanding health conditions beyond clinical
                 practice, by capturing patients' discussions and
                 feelings about their quality of life in relation to
                 disease treatments. In this article, we propose a
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{AlAziz:2022:DPM,
  author =       "Md Momin {Al Aziz} and Tanbir Ahmed and Tasnia Faequa
                 and Xiaoqian Jiang and Yiyu Yao and Noman Mohammed",
  title =        "Differentially Private Medical Texts Generation Using
                 Generative Neural Networks",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "5:1--5:27",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3469035",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3469035",
  abstract =     "Technological advancements in data science have
                 offered us affordable storage and efficient algorithms
                 to query a large volume of data. Our health records are
                 a significant part of this data, which is pivotal for
                 healthcare providers and can be utilized \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Lee:2022:CEI,
  author =       "Kahyun Lee and Mehmet Kayaalp and Sam Henry and
                 {\"O}zlem Uzuner",
  title =        "A Context-Enhanced De-identification System",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "6:1--6:14",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3470980",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3470980",
  abstract =     "Many modern entity recognition systems, including the
                 current state-of-the-art de-identification systems, are
                 based on bidirectional long short-term memory (biLSTM)
                 units augmented by a conditional random field (CRF)
                 sequence optimizer. These systems \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Tariq:2022:BGB,
  author =       "Amara Tariq and Marly {Van Assen} and Carlo N. {De
                 Cecco} and Imon Banerjee",
  title =        "Bridging the Gap between Structured and Free-form
                 Radiology Reporting: a Case-study on Coronary {CT}
                 Angiography",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "7:1--7:20",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3474831",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3474831",
  abstract =     "Free-form radiology reports associated with coronary
                 computed tomography angiography (CCTA) include nuanced
                 and complicated linguistics to report cardiovascular
                 disease. Standardization and interpretation of such
                 reports is crucial for clinical use of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "7",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Bertini:2022:ASC,
  author =       "Flavio Bertini and Davide Allevi and Gianluca Lutero
                 and Danilo Montesi and Laura Calz{\`a}",
  title =        "Automatic Speech Classifier for Mild Cognitive
                 Impairment and Early Dementia",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "8:1--8:11",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3469089",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3469089",
  abstract =     "The World Health Organization estimates that 50
                 million people are currently living with dementia
                 worldwide and this figure will almost triple by 2050.
                 Current pharmacological treatments are only
                 symptomatic, and drugs or other therapies are
                 ineffective \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "8",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Shojaee:2022:AWT,
  author =       "Parshin Shojaee and Xiaoyu Chen and Ran Jin",
  title =        "Adaptively Weighted Top-{$N$} Recommendation for Organ
                 Matching",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "9:1--9:29",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3469657",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3469657",
  abstract =     "Reducing the shortage of organ donations to meet the
                 demands of patients on the waiting list has being a
                 major challenge in organ transplantation. Because of
                 the shortage, organ matching decision is the most
                 critical decision to assign the limited viable
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "9",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Gaddipati:2022:GAF,
  author =       "Divya Jyothi Gaddipati and Jayanthi Sivaswamy",
  title =        "Glaucoma Assessment from Fundus Images with Fundus to
                 {OCT} Feature Space Mapping",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "10:1--10:15",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3470979",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3470979",
  abstract =     "Early detection and treatment of glaucoma is of
                 interest as it is a chronic eye disease leading to an
                 irreversible loss of vision. Existing automated systems
                 rely largely on fundus images for assessment of
                 glaucoma due to their fast acquisition and cost-.
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "10",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Feiger:2022:EUN,
  author =       "Bradley Feiger and Erick Lorenzana-Saldivar and Colin
                 Cooke and Roarke Horstmeyer and Muath Bishawi and Julie
                 Doberne and G. Chad Hughes and David Ranney and Soraya
                 Voigt and Amanda Randles",
  title =        "Evaluation of U-Net Based Architectures for Automatic
                 Aortic Dissection Segmentation",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "11:1--11:16",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3472302",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3472302",
  abstract =     "Segmentation and reconstruction of arteries is
                 important for a variety of medical and engineering
                 fields, such as surgical planning and physiological
                 modeling. However, manual methods can be laborious and
                 subject to a high degree of human variability. In
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "11",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Ding:2022:ABU,
  author =       "Haoran Ding and Xiao Luo",
  title =        "Attention-based Unsupervised Keyphrase Extraction and
                 Phrase Graph for {COVID-19} Medical Literature
                 Retrieval",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "12:1--12:16",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3473939",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3473939",
  abstract =     "Searching, reading, and finding information from the
                 massive medical text collections are challenging. A
                 typical biomedical search engine is not feasible to
                 navigate each article to find critical information or
                 keyphrases. Moreover, few tools provide a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "12",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Shojaati:2022:DCM,
  author =       "Narjes Shojaati and Nathaniel D. Osgood",
  title =        "Dynamic Computational Models and Simulations of the
                 Opioid Crisis: a Comprehensive Survey",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "13:1--13:25",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3469658",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3469658",
  abstract =     "Opioids have been shown to temporarily reduce the
                 severity of pain when prescribed for medical purposes.
                 However, opioid analgesics can also lead to severe
                 adverse physical and psychological effects or even
                 death through misuse, abuse, short- or long-term
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "13",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}