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%%% -*-BibTeX-*-
%%% ====================================================================
%%%  BibTeX-file{
%%%     author          = "Nelson H. F. Beebe",
%%%     version         = "1.02",
%%%     date            = "28 March 2021",
%%%     time            = "08:11:08 MDT",
%%%     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        = "33548 1170 5178 50554",
%%%     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 1.02, the COMPLETE journal
%%%                        coverage looked like this:
%%%
%%%                             2020 (  26)    2021 (   9)
%%%
%%%                             Article:         35
%%%
%%%                             Total entries:   35
%%%
%%%                        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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%%%                        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",
}