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  • Paper

    Comparisons Between GPS-based and Self-reported Life-space Mobility in Older Adults

    • Chen Bai ;
    • Ruben Zapata ;
    • Yashaswi Karnati ;
    • Emily Smail ;
    • Alexandra Hajduk ;
    • Thomas Gill ;
    • Sanjay Ranka ;
    • Todd Manini ;
    • Mamoun Mardini

    Comparisons Between GPS-based and Self-reported Life-space Mobility in Older Adults


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    Predicting patients who are likely to develop Lupus Nephritis of those newly diagnosed with Systemic Lupus Erythematosus.

    • Katelyn K. Bechler ;
    • Nigam Shah

    Predicting patients who are likely to develop Lupus Nephritis of those newly diagnosed with Systemic Lupus Erythematosus.


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    Simulants: Synthetic Clinical Trial Data via Subject-Level Privacy-Preserving Synthesis

    • Mandis Beigi ;
    • Afrah Shafquat ;
    • Jason Mezey ;
    • Jacob Aptekar

    Simulants: Synthetic Clinical Trial Data via Subject-Level Privacy-Preserving Synthesis


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    Characteristics of the National Applicant Pool for Clinical Informatics Fellowships (2018-2020)

    • Douglas S. Bell ;
    • Kevin Baldwin ;
    • Elijah J. Bell

    Characteristics of the National Applicant Pool for Clinical Informatics Fellowships (2018-2020)


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    Optimizing Bed Utilization for COVID-19 Patient Flow Protocols in a Behavioral Health Inpatient Facility using Discrete Event Simulation

    • Akiva Blickstein ;
    • Jordan Barbour ;
    • Eric Reich ;
    • Biplab Bhattacharya

    Optimizing Bed Utilization for COVID-19 Patient Flow Protocols in a Behavioral Health Inpatient Facility using Discrete Event Simulation


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    A Representativeness-informed Model for Research Record Selection from Electronic Medical Record Systems

    • Victor A. Borza ;
    • Ellen Clayton ;
    • Murat Kantarcioglu ;
    • Yevgeniy Vorobeychik ;
    • Bradley Malin

    A Representativeness-informed Model for Research Record Selection from Electronic Medical Record Systems


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    Automated Identification of Patients with Advanced Illness

    • Rajdeep Brar ;
    • Marsha Meytlis ;
    • Isabel Friedman ;
    • Nicholas Dacosta ;
    • Alexander Rimar ;
    • Jessica Cohen ;
    • Tara Liberman ;
    • Jamie Hirsch ;
    • Kevin Bock ;
    • Michael Oppenheim

    Automated Identification of Patients with Advanced Illness


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    Supporting COVID-19 Disparity Investigations with Dynamically Adjusting Case Reporting Policies

    • James Thomas Brown ;
    • Zhiyu Wan ;
    • Aris Gkoulalas-Divanis ;
    • Murat Kantarcioglu ;
    • Bradley Malin

    Supporting COVID-19 Disparity Investigations with Dynamically Adjusting Case Reporting Policies


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    An Unsupervised Cluster Analysis of Post-COVID-19 Mental Health Outcomes and Associated Comorbidities

    • Katherine A. Brown ;
    • Neil Sarkar ;
    • Karen Crowley ;
    • Dilum Aluthge ;
    • Elizabeth Chen

    An Unsupervised Cluster Analysis of Post-COVID-19 Mental Health Outcomes and Associated Comorbidities


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    Nutri: A Behavioral Science-Based Clinical Decision Support System for Chronic Disease Management

    • Marissa Burgermaster ;
    • Madalyn Rosenthal ;
    • William Tierney ;
    • Brandon Altillo ;
    • Eric Nordquist ;
    • Christina Enriquez ;
    • Steven Andrews ;
    • Caroline Klatt ;
    • Grant Daniels

    Nutri: A Behavioral Science-Based Clinical Decision Support System for Chronic Disease Management


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    Identifying opportunities for informatics-supported suicide prevention: the case of Caring Contacts

    • Hannah A. Burkhardt ;
    • Megan Laine ;
    • Amanda Kerbrat ;
    • Trevor Cohen ;
    • Kate Comtois ;
    • Andrea Hartzler

    Identifying opportunities for informatics-supported suicide prevention: the case of Caring Contacts


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    Characterizing Patient Representations for Computational Phenotyping

    • Tiffany J. Callahan ;
    • Adrianne Stefanski ;
    • Danielle Ostendorf ;
    • Jordan Wyrwa ;
    • Sara Deakyne Davies ;
    • George Hripcsak ;
    • Lawrence Hunter ;
    • Michael Kahn

    Characterizing Patient Representations for Computational Phenotyping


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    Establishing Trust in Pharmaceutical Data with an Independent Verification and Validation Methodology

    • Keith E. Campbell ;
    • Taima Gomez ;
    • Elizabeth Korte ;
    • Raja Cholan ;
    • Robert Rehwoldt ;
    • Andrew Sills ;
    • Christine Spisla ;
    • Traci Hindman Robinson ;
    • Philip Meacham ;
    • Alicia Bracco ;
    • Peyton Marion ;
    • Stephen Powell ;
    • Diane Montella ;
    • Steven Brown

    Establishing Trust in Pharmaceutical Data with an Independent Verification and Validation Methodology


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    Interpretable Sub-phenotype Identification in Acute Kidney Injury

    • Ho Yin Chan ;
    • Mei Liu

    Interpretable Sub-phenotype Identification in Acute Kidney Injury


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    Cohort Identification from Free-Text Clinical Notes Using SNOMED CT’s Hierarchical Semantic Relations

    • Eunsuk Chang ;
    • Javed Mostafa

    Cohort Identification from Free-Text Clinical Notes Using SNOMED CT’s Hierarchical Semantic Relations


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    A Large-Scale Retrospective Study on Thrombocytopenia Associated with Beta-Lactam Antibiotics

    • Alyssa Chen ;
    • Marguerite Monogue ;
    • Mujeeb Basit

    A Large-Scale Retrospective Study on Thrombocytopenia Associated with Beta-Lactam Antibiotics


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    Impacts of Eligibility Criteria on Trial Participants’ Age in Alzheimer's Disease Clinical Trials

    • Aokun Chen ;
    • Qian Li ;
    • Xing He ;
    • Michael Jaffee ;
    • William Hogan ;
    • Fei Wang ;
    • Yi Guo ;
    • Jiang Bian

    Impacts of Eligibility Criteria on Trial Participants’ Age in Alzheimer's Disease Clinical Trials


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    Faculty Driven Virtual Reality (VR) Scenarios and Students Perception of Immersive VR in Nursing Education: A Pilot Study

    • Jeeyae Choi ;
    • Charlotte Thompson

    Faculty Driven Virtual Reality (VR) Scenarios and Students Perception of Immersive VR in Nursing Education: A Pilot Study


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    Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment

    • Michal Chorev ;
    • Vesna Barros ;
    • Adam Spiro ;
    • Ella Evron ;
    • Ella Barkan ;
    • Oren Kagan ;
    • Mika Amit ;
    • Michal Ozery-Flato ;
    • Ayelet Akselrod-Balin ;
    • Varda Shalev ;
    • Michal Rosen-Zvi ;
    • Michal Guindy

    Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment


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    Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy

    • Leonard Dervishi ;
    • Xinyue Wang ;
    • Wentao Li ;
    • Anisa Halimi ;
    • Jaideep Vaidya ;
    • Xiaoqian Jiang ;
    • Erman Ayday

    Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy


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    Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact

    • Arnab Dey ;
    • Mononito Goswami ;
    • Joo Heung Yoon ;
    • Gilles Clermont ;
    • Michael Pinsky ;
    • Marilyn Hravnak ;
    • Artur Dubrawski

    Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact


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    Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning

    • Sirui Ding ;
    • Ruixiang Tang ;
    • Daochen Zha ;
    • Na Zou ;
    • Kai Zhang ;
    • Xiaoqian Jiang ;
    • Xia Hu

    Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning


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    MERIT: Minimal SupErvision Through Label Augmentation For Biomedical RelatIon ExTraction

    • Saman Enayati ;
    • Slobodan Vucetic

    MERIT: Minimal SupErvision Through Label Augmentation For Biomedical RelatIon ExTraction


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    A Data-Driven Pipeline to Discover Treatment Variations and the Associated Contributing Factors Balanced with Optimal Granularity

    • Hao Fan ;
    • Kian-Huat Lim ;
    • Po-Yin Yen

    A Data-Driven Pipeline to Discover Treatment Variations and the Associated Contributing Factors Balanced with Optimal Granularity


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    Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art

    • Davide Ferrari ;
    • Veronica Guidetti ;
    • Vasa Curcin ;
    • Yanzhong Wang

    Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art


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    DRRisk: A Web-based tool to Assess the Risk of Diabetic Retinopathy through Machine Learning on Electronic Health Records

    • Meghal Gandhi ;
    • Lauren Daskivich ;
    • Omolola Ogunyemi

    DRRisk: A Web-based tool to Assess the Risk of Diabetic Retinopathy through Machine Learning on Electronic Health Records


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    Developing and Evaluating a Diversity, Equity, and Inclusion Storytelling Model in Data Courses in an Academic Electronic Health Record

    • Grace Gao

    Developing and Evaluating a Diversity, Equity, and Inclusion Storytelling Model in Data Courses in an Academic Electronic Health Record


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    A knowledge graph-driven disease-gene prediction system using multi-relational graph convolution networks

    • Zhenxiang Gao ;
    • Rong Xu ;
    • Yiheng Pan ;
    • Pingjian Ding

    A knowledge graph-driven disease-gene prediction system using multi-relational graph convolution networks


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    Healthcare Optimization and Augmented Intelligence by Coupling Simulation & Modeling: An Ideal AI/ML Partnership for a Better Clinical Informatics

    • Vijay Gehlot ;
    • Elliot Sloane ;
    • Dominic king ;
    • Nilmini Wickramasinghe ;
    • Jonathan Schaffer

    Healthcare Optimization and Augmented Intelligence by Coupling Simulation & Modeling: An Ideal AI/ML Partnership for a Better Clinical Informatics


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    DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation

    • Shantanu Ghosh ;
    • Zheng Feng ;
    • Jiang Bian ;
    • Kevin Butler ;
    • Mattia Prosperi

    DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation


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    Coding Disparity and Specificity during Emergency Department Visits after Transitioning to the Tenth Version of the International Classification of Diseases

    • Michael A. Grasso ;
    • Zachary Dezman ;
    • David Jerrard

    Coding Disparity and Specificity during Emergency Department Visits after Transitioning to the Tenth Version of the International Classification of Diseases


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    Public Opinions toward COVID-19 Vaccine Mandates: A Machine Learning-based Analysis of U.S. Tweets

    • Yawen Guo ;
    • Jun Zhu ;
    • Yicong Huang ;
    • Lu He ;
    • Changyang He ;
    • Chen Li ;
    • Kai Zheng

    Public Opinions toward COVID-19 Vaccine Mandates: A Machine Learning-based Analysis of U.S. Tweets


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    Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes

    • Ameen Abdel Hai ;
    • Mark Weiner ;
    • Anuradha Paranjape ;
    • Alice Livshits ;
    • Jeremiah Brown ;
    • Zoran Obradovic ;
    • Daniel Rubin

    Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes


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    geoPIPE: Geospatial Pipeline for Enhancing Open Data for Substance Use Disorders Research

    • Daniel R. Harris ;
    • Nick Anthony ;
    • Mojde Mir ;
    • Chris Delcher

    geoPIPE: Geospatial Pipeline for Enhancing Open Data for Substance Use Disorders Research


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    Towards User-centered Corpus Development: Lessons Learnt from Designing and Developing MedTator

    • Huan He ;
    • Sunyang Fu ;
    • Liwei Wang ;
    • Andrew Wen ;
    • Sijia Liu ;
    • Sungrim Moon ;
    • Kurt Miller ;
    • Hongfang Liu

    Towards User-centered Corpus Development: Lessons Learnt from Designing and Developing MedTator


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    Methodological information extraction from randomized controlled trial publications: a pilot study

    • Linh Hoang ;
    • Yingjun Guan ;
    • Halil Kilicoglu

    Methodological information extraction from randomized controlled trial publications: a pilot study


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    Capturing Concerns about Patient Deterioration in Narrative Documentation in Home Healthcare

    • Mollie Hobensack ;
    • Jiyoun Song ;
    • Sena Chae ;
    • Erin Kennedy ;
    • Maryam Zolnoori ;
    • Kathy Bowles ;
    • Margaret McDonald ;
    • Lauren Evans ;
    • Maxim Topaz

    Capturing Concerns about Patient Deterioration in Narrative Documentation in Home Healthcare


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    Embedding a State-Wide Prescription Drug Monitoring Program into the Electronic Health Record

    • Chad M. Hodge ;
    • James Hellewell ;
    • Ian Ford ;
    • Kellyann Nielsen ;
    • Philip Brewster ;
    • Jeffrey Henrie

    Embedding a State-Wide Prescription Drug Monitoring Program into the Electronic Health Record


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    Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms

    • Ashutosh Jadhav ;
    • Satyananda Kashyap ;
    • Hakan Bulu ;
    • Ronak Dholakia ;
    • Tanveer Syeda-Mahmood ;
    • Hussain Rangwala ;
    • Mehdi Moradi

    Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms


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    Cloud Computing Synthetic Syndromic Surveillance Systems: Opioid Epidemic in Illinois

    • Arash Jalali ;
    • Sean Huang ;
    • Karl Kochendorfer

    Cloud Computing Synthetic Syndromic Surveillance Systems: Opioid Epidemic in Illinois


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    Feasibility of Linking Area Deprivation Index Data to the OMOP Common Data Model

    • Xinzhuo Jiang ;
    • Maura Beaton ;
    • Jake Gillberg ;
    • Andrew Williams ;
    • Karthik Natarajan

    Feasibility of Linking Area Deprivation Index Data to the OMOP Common Data Model


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    Hierarchy-aware Adverse Reaction Embeddings for Signal Detection

    • Venkata Joopudi ;
    • Bharath Dandala ;
    • Ching-Huei Tsou ;
    • Jennifer Liang

    Hierarchy-aware Adverse Reaction Embeddings for Signal Detection


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    Identifying Barriers to Post-Acute Care Referral and Characterizing Negative Patient Preferences Among Hospitalized Older Adults Using Natural Language Processing

    • Erin E. Kennedy ;
    • Anahita Davoudi ;
    • Sy Hwang ;
    • Ryan Urbanowicz ;
    • Philip Freda ;
    • Kathy Bowles ;
    • Danielle Mowery

    Identifying Barriers to Post-Acute Care Referral and Characterizing Negative Patient Preferences Among Hospitalized Older Adults Using Natural Language Processing


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    Parsable Clinical Trial Eligibility Criteria Representation Using Natural Language Processing

    • Jeongeun Kim ;
    • Mitchell Izower ;
    • Yuri Quintana

    Parsable Clinical Trial Eligibility Criteria Representation Using Natural Language Processing


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    Clinical Data Repositories: Primary Sources of Drug-to-Drug Interaction Detection and Risk Assessment

    • Sebastien D. Kiogou ;
    • Terrence Adam

    Clinical Data Repositories: Primary Sources of Drug-to-Drug Interaction Detection and Risk Assessment


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    Reducing FHIR “Profiliferation”: A Data-Driven Approach

    • Mark A. Kramer

    Reducing FHIR “Profiliferation”: A Data-Driven Approach


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    Exploring Risk Factors in Suicidal Ideation and Attempt Concept Cooccurrence Networks

    • Kevin J. Krause ;
    • John Shelley ;
    • Robert Becker ;
    • Colin Walsh

    Exploring Risk Factors in Suicidal Ideation and Attempt Concept Cooccurrence Networks


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    Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease

    • Jonathan Y. Lam ;
    • Andrew Richardson ;
    • Adriana Tremoulet ;
    • John Kanegaye ;
    • Chisato Shimizu ;
    • Nicole Stadnick ;
    • Jane Burns ;
    • Shamim Nemati ;
    • Michael Gardiner

    Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease


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    Leveraging Semantic Type Dependencies for Medical Named Entity Recognition

    • Linh Le ;
    • Guido Zuccon ;
    • Geng Hong Zhao ;
    • Gianluca Demartini ;
    • Xia Zhang

    Leveraging Semantic Type Dependencies for Medical Named Entity Recognition


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    New PK/PD model directly links diabetes drug dose to blood glucose level for personalized care

    • Eva K. Lee ;
    • Xei Wei ;
    • Michael Wright

    New PK/PD model directly links diabetes drug dose to blood glucose level for personalized care


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    Analyzing Strategies for Containing Avian Influenza

    • Eva K. Lee ;
    • Yifan Liu ;
    • Abdelgawad El-Tahawy ;
    • Folorunso Fasina

    Analyzing Strategies for Containing Avian Influenza


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    The Impact of Name Transformation on Match Rates Within a Large Consumer Database

    • Jonah Leshin ;
    • Abel Kho ;
    • Arjun Sanghvi ;
    • Kavi Ravuri ;
    • Matthew Owen

    The Impact of Name Transformation on Match Rates Within a Large Consumer Database


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    A Telepsychiatry Simulation for Suicide Assessment: Teaching Telemedicine Safety Competencies

    • Andrew Liew ;
    • Helen Monkman ;
    • Ryan Palmer ;
    • Liz Kollaja ;
    • Kristin Rodriguez ;
    • Shannon Ijams ;
    • Juell Homco ;
    • John Laurent ;
    • Anna Wickham ;
    • Frances Wen ;
    • Blake Lesselroth

    A Telepsychiatry Simulation for Suicide Assessment: Teaching Telemedicine Safety Competencies


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    Capturing Demographic, Health-Related, and Psychosocial Variables in a Standardized Manner: Towards Improving Cancer Screening Adherence

    • Yannan Lin ;
    • Ruiwen Ding ;
    • Ashley Prosper ;
    • Denise Aberle ;
    • Alexander Bui ;
    • William Hsu

    Capturing Demographic, Health-Related, and Psychosocial Variables in a Standardized Manner: Towards Improving Cancer Screening Adherence


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    A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction

    • Weimin Lyu ;
    • Xinyu Dong ;
    • Rachel Wong ;
    • Songzhu Zheng ;
    • Kayle Abell-Hart ;
    • Fushen Wang ;
    • Chao Chen

    A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction


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    Neural gradient boosting in federated learning for hemodynamic instability prediction: towards a distributed and scalable deep learning-based solution

    • Francesca Manni ;
    • Aleksandr Bukharev ;
    • Anshul Jain ;
    • Shiva Moorthy ;
    • Asif Rahman ;
    • Anca Bucur

    Neural gradient boosting in federated learning for hemodynamic instability prediction: towards a distributed and scalable deep learning-based solution


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    Comparison of Ordering Tools on Adherence to Treatment Protocols in the Emergency Department

    • Kyle Marshall ;
    • David Friedlander ;
    • Vishnu Mohan ;
    • David Vawdrey

    Comparison of Ordering Tools on Adherence to Treatment Protocols in the Emergency Department


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    Concept Drift Detection to Assess the Diffusion of Process Innovations in Healthcare

    • Colin McLean ;
    • Daniel Capurro

    Concept Drift Detection to Assess the Diffusion of Process Innovations in Healthcare


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    Semi-automated Clinical Content Curation of COVID-19 Chatbot Remote Patient Monitoring Solution

    • Tanya Melnik ;
    • Joshua Thompson ;
    • Jake Vasilakes ;
    • Tucker Annis ;
    • Sicheng Zhou ;
    • Dalton Schutte ;
    • Genevieve Melton-Meaux ;
    • Susan Pleasants ;
    • Rui Zhang

    Semi-automated Clinical Content Curation of COVID-19 Chatbot Remote Patient Monitoring Solution


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    A Unified Approach to Clinical Informatics Education for Undergraduate and Graduate Medical Education

    • Dara E. Mize ;
    • Travis Osterman

    A Unified Approach to Clinical Informatics Education for Undergraduate and Graduate Medical Education


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    Tailoring Rule-Based Data Quality Assessment to the Patient-Centered Outcomes Research Network (PCORnet) Common Data Model (CDM)

    • Yahia Mohamed ;
    • Xing Song ;
    • Tamara McMahon ;
    • Suman Sahil ;
    • Meredith Zozus ;
    • Zhan Wang ;
    • Lemuel Waitman

    Tailoring Rule-Based Data Quality Assessment to the Patient-Centered Outcomes Research Network (PCORnet) Common Data Model (CDM)


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    Automated Identification of Missing IS-A Relations in the Human Phenotype Ontology

    • Maryamsadat Mohtashamian ;
    • Ran Hu ;
    • Rashmie Abeysinghe ;
    • Xubing Hao ;
    • Hua Xu ;
    • Licong Cui

    Automated Identification of Missing IS-A Relations in the Human Phenotype Ontology


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    Bridging the Granularity Gap in Family History Information Extracted from Clinical Narratives

    • Sungrim Moon ;
    • Liwei Wang ;
    • Xuan Chen ;
    • Nan Wang ;
    • Sheila Manemann ;
    • Nicholas Larson ;
    • Suzette Bielinski ;
    • Hongfang Liu

    Bridging the Granularity Gap in Family History Information Extracted from Clinical Narratives


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    Using Time Series Clustering to Segment and Infer Emergency Department Nursing Shifts from Electronic Health Record Log Files

    • Amanda J. Moy ;
    • Kenrick Cato ;
    • Jennifer Withall ;
    • Nicholas Tatonetti ;
    • Eugene Kim ;
    • Sarah Rossetti

    Using Time Series Clustering to Segment and Infer Emergency Department Nursing Shifts from Electronic Health Record Log Files


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    An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury

    • Amin Nayebi ;
    • Sindhu Tipirneni ;
    • Brandon Foreman ;
    • Chandan Reddy ;
    • Vignesh Subbian

    An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury


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    Phenotyping in distributed data networks: selecting the right codes for the right patients

    • Anna Ostropolets ;
    • Patrick Ryan ;
    • George Hripcsak

    Phenotyping in distributed data networks: selecting the right codes for the right patients


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    A Web-based Platform to Share Harmonized Results from COVID-19 Clinical Studies

    • Irena Parvanova ;
    • Kirill Borziak ;
    • Anar Plotnikov ;
    • Joseph Finkelstein

    A Web-based Platform to Share Harmonized Results from COVID-19 Clinical Studies


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    Enhancing an AI-Empowered Periodontal CDSS and Comparing with Traditional Perio-risk Assessment Tools

    • Jay Patel ;
    • Kajal Patel ;
    • Hoa Vo ;
    • Liu Jiannan ;
    • Marisol Tellez ;
    • Jasmin Albandar ;
    • Huanmei Wu

    Enhancing an AI-Empowered Periodontal CDSS and Comparing with Traditional Perio-risk Assessment Tools


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    Improving Patient Selection and Prioritization for Hospital at Home Through Predictive Modeling

    • Satyabrata Pati ;
    • Gina Thompson ;
    • Chritopher Mull ;
    • Jacey Fazio ;
    • Daniel Allen ;
    • Heidi Felix ;
    • Margaret Paulson ;
    • Rajeev Chaudhry ;
    • Gautam Matcha ;
    • Michael Maniaci ;
    • Charles Burger ;
    • Daniel Quest

    Improving Patient Selection and Prioritization for Hospital at Home Through Predictive Modeling


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    Gaps in Nephrology Referral Care Utilization in Patients at High-Risk of Progression to Kidney Failure

    • Samson Peter ;
    • Maggie Wang ;
    • Chi Chu ;
    • Delphine Tuot ;
    • Arhana Chattopadhyay ;
    • Jonathan Chen

    Gaps in Nephrology Referral Care Utilization in Patients at High-Risk of Progression to Kidney Failure


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    Experiences with Cyclical User-Centered Design for Patient and Clinician Facing Medication Reconciliation mHealth Applications

    • Christina M. Polomoff ;
    • Sean Jeffery ;
    • Thomas Agresta ;
    • Steven Demurjian ;
    • Nitu Kashyap

    Experiences with Cyclical User-Centered Design for Patient and Clinician Facing Medication Reconciliation mHealth Applications


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    Semi-Automated Data Curation from Biomedical Literature

    • Protiva Rahman ;
    • Daniel Fabbri

    Semi-Automated Data Curation from Biomedical Literature


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    Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value

    • Redoan Rahman ;
    • Jooyeong Kang ;
    • Justin F. Rousseau ;
    • Ying Ding

    Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value


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    Designing health IT to support falls prevention in hospitals: Findings from a realist review

    • Rebecca Randell ;
    • Lynn McVey ;
    • Hadar Zaman ;
    • Judy Wright ;
    • V-Lin Cheong ;
    • Dawn Dowding ;
    • Peter Gardner ;
    • Nicholas Hardiker ;
    • Frances Healey ;
    • Alison Lynch ;
    • Natasha Alvarado

    Designing health IT to support falls prevention in hospitals: Findings from a realist review


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    An Investigation of the Representation of Social Determinants of Health in the UMLS

    • Bhanu Pratap Singh Rawat ;
    • Hong Yu ;
    • Heather Keating ;
    • Raelene Goodwin ;
    • Emily Druhl

    An Investigation of the Representation of Social Determinants of Health in the UMLS


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    Usability preferences of people living with cystic fibrosis about a lung transplant education website

    • Nick Reid ;
    • Kathleen Ramos ;
    • Lauren Bartlett ;
    • Joseph Pryor ;
    • Donna Berry ;
    • Melissa Basile ;
    • Siddhartha Kapnadak ;
    • Andrea Hartzler

    Usability preferences of people living with cystic fibrosis about a lung transplant education website


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    Design, Implementation, and Usability of the Electronic Medical Record Search Engine (EMERSE) Tool

    • Colby N. Reyes ;
    • Kai Zheng ;
    • David Hanauer

    Design, Implementation, and Usability of the Electronic Medical Record Search Engine (EMERSE) Tool


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    Investigating the Interoperable Health App Ecosystem at the Start of the 21st Century Cures Act

    • Tera L. Reynolds ;
    • Meghna Kaligotla ;
    • Kai Zheng

    Investigating the Interoperable Health App Ecosystem at the Start of the 21st Century Cures Act


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    Exploring needs, interests and preferences for digital mind body tools for adolescents

    • Savitha Sangameswaran ;
    • Serena Jinchen Xie ;
    • Michelle Garrison ;
    • Dori Rosenberg ;
    • Jason Yip ;
    • Andrea Hartzler

    Exploring needs, interests and preferences for digital mind body tools for adolescents


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    PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain

    • Thiago Santos

    PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain


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    HealthPrompt: A zero-shot learning paradigm for Clinical Natural Language Processing

    • Sonish Sivarajkumar ;
    • Yanshan Wang

    HealthPrompt: A zero-shot learning paradigm for Clinical Natural Language Processing


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    Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence

    • Jeffrey Smith ;
    • Christopher Josef ;
    • Yao Xie ;
    • Rishikesan Kamaleswaran

    Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence


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    Is Auto-generated Transcript of Patient-Nurse Communication Ready to Use for Identifying the Risk for Hospitalizations or Emergency Department Visits in Home Health Care? A Natural Language Processing Pilot Study

    • Jiyoun Song ;
    • Maryam Zolnoori ;
    • Danielle Scharp ;
    • Sasha Vergez ;
    • Margaret McDonald ;
    • Sridevi Sridharan ;
    • Zoran Kostic ;
    • Maxim Topaz

    Is Auto-generated Transcript of Patient-Nurse Communication Ready to Use for Identifying the Risk for Hospitalizations or Emergency Department Visits in Home Health Care? A Natural Language Processing Pilot Study


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    Toward a Neural Semantic Parsing System for EHR Question Answering

    • Sarvesh Soni ;
    • Kirk Roberts

    Toward a Neural Semantic Parsing System for EHR Question Answering


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    Opportunities and challenges to enhance the value and uptake of Chief Nursing Informatics Officer (CNIO) Roles in Canada: A Qualitative Study

    • Gillian Strudwick ;
    • Brian Lo ;
    • Jessica Kemp ;
    • Karim Jessa ;
    • Tania Tajirian ;
    • Peggy White ;
    • Lynn Nagle

    Opportunities and challenges to enhance the value and uptake of Chief Nursing Informatics Officer (CNIO) Roles in Canada: A Qualitative Study


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    Development of a Patient Decision Aid for Refractive Eye Surgery

    • Bhavani Subbaraman ;
    • Kamran Ahmed ;
    • Matthew Heller ;
    • Alison Essary ;
    • Vimla Patel ;
    • Dongwen Wang

    Development of a Patient Decision Aid for Refractive Eye Surgery


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    Assessing Phenotype Definitions for Algorithmic Fairness

    • Tony Sun ;
    • Shreyas Bhave ;
    • Jaan Altosaar ;
    • Noemie Elhadad

    Assessing Phenotype Definitions for Algorithmic Fairness


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    Principled Subpopulation Analysis of the BetterBirth Study and the Impact of WHO's Safe Childbirth Checklist Intervention

    • Girmaw Abebe Tadesse ;
    • Megan Marx Delaney ;
    • Victor Akinwande ;
    • William Ogallo ;
    • Claire-Helene Mershon ;
    • Katherine Semrau ;
    • Skyler Speakman

    Principled Subpopulation Analysis of the BetterBirth Study and the Impact of WHO's Safe Childbirth Checklist Intervention


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    Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction

    • Amara Tariq ;
    • Siyi Tang ;
    • Hifza Sakhi ;
    • Leo Anthony Celi ;
    • Janice Newsome ;
    • Daniel Rubin ;
    • Hari Trivedi ;
    • Judy Gichoya ;
    • Bhavik Patel ;
    • Imon Banerjee

    Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction


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    Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients

    • Mohan Timilsina ;
    • Samuele Bousi ;
    • Dirk Fey ;
    • Adrianna Janik ;
    • Maria Torrente ;
    • Mariano Provencio ;
    • Alberto Bermúdez ;
    • Enric Carcereny ;
    • Luca Costabello ;
    • Delvys Abreu ;
    • Manuel Cobo ;
    • Rafael Castro ;
    • Reyes Bernabé ;
    • Maria Guirado ;
    • Pasquale Minervini ;
    • Vit Novacek

    Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients


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    Automatic speech recognition performance for digital scribes: a performance comparison between general-purpose and specialized models tuned for patient-clinician conversations

    • Brian D. Tran ;
    • Ming Tai-Seale ;
    • Ramya Mangu ;
    • Jennifer Lafata ;
    • Kai Zheng

    Automatic speech recognition performance for digital scribes: a performance comparison between general-purpose and specialized models tuned for patient-clinician conversations


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    Structural Patterns in Chronic Disease Clinical Practice Guidelines Formalized for Clinical Decision Support

    • Samson W. Tu ;
    • Tanya Podchiyska ;
    • Connie Oshiro ;
    • Susana Martins ;
    • Michael Ashcraft ;
    • Justin Chambers ;
    • Amy Robinson ;
    • Paul Heidenreich ;
    • Mary Goldstein

    Structural Patterns in Chronic Disease Clinical Practice Guidelines Formalized for Clinical Decision Support


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    Experiences of care delays and telehealth use during the COVID-19 pandemic among socioeconomically diverse cardiovascular patients and clinicians in an urban hospital

    • Meghan Reading Turchioe ;
    • Jessica Ancker ;
    • Alexander Volodarskiy ;
    • Joshua Vapnik ;
    • Sushant Sunkaraneni ;
    • David Slotwiner

    Experiences of care delays and telehealth use during the COVID-19 pandemic among socioeconomically diverse cardiovascular patients and clinicians in an urban hospital


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    Pandemic Telemedicine Adoption Trends in a Predominantly Rural Integrated Health System

    • David K. Vawdrey ;
    • David Fletcher ;
    • Tejal Raichura ;
    • Ryan Muldowney ;
    • Karen Murphy ;
    • Eric Hall

    Pandemic Telemedicine Adoption Trends in a Predominantly Rural Integrated Health System


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    A Systematic Review of Patient-Perceived Barriers and Facilitators to the Adoption and Use of Remote Health Technology in Underserved Populations

    • Nikita Sandeep Wagle ;
    • Jordan Schueler ;
    • Solangia Engler ;
    • Sherecce Fields ;
    • Hye-Chung Kum

    A Systematic Review of Patient-Perceived Barriers and Facilitators to the Adoption and Use of Remote Health Technology in Underserved Populations


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    Discovering causal paths to diabetic nephropathy by combining computable biomedical knowledge with graph mining algorithms

    • Shuang Wang ;
    • Huai-Yu Wang ;
    • Jian Du

    Discovering causal paths to diabetic nephropathy by combining computable biomedical knowledge with graph mining algorithms


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    AANet: Attentive All-level Fusion Deep Neural Network Approach for Multi-modality Early Alzheimer’s Disease Diagnosis

    • Qinyong Wang ;
    • Rong Xu

    AANet: Attentive All-level Fusion Deep Neural Network Approach for Multi-modality Early Alzheimer’s Disease Diagnosis


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    Enabling Scientific Reproducibility through FAIR Data Management: An ontology-driven deep learning approach in the NeuroBridge Project

    • Xiaochen Wang ;
    • Wang Yue ;
    • José-Luis Ambite ;
    • Abhishek Appaji ;
    • Howard Lander ;
    • Stephen Moore ;
    • Arcot Rajasekar ;
    • Jessica Turner ;
    • Matthew Turner ;
    • Lei Wang ;
    • Satya Sahoo

    Enabling Scientific Reproducibility through FAIR Data Management: An ontology-driven deep learning approach in the NeuroBridge Project


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    LocalVar: a local variant collection manager to asynchronously detect synonyms, HGVS expression changes, and variant interpretation changes from ClinVar

    • Michael T. Watkins ;
    • Wendy Kohlmann ;
    • Therese Berry ;
    • Neetha Sama ;
    • Cathryn Koptiuch ;
    • Shawn Rynearson ;
    • Karen Eilbeck

    LocalVar: a local variant collection manager to asynchronously detect synonyms, HGVS expression changes, and variant interpretation changes from ClinVar


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    Classifying Infection Risk Following Pediatric Cardiac Surgery

    • Kaitlin C. Williamson ;
    • Daniel Fabbri

    Classifying Infection Risk Following Pediatric Cardiac Surgery


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    Predicting Drug Blood-Brain Barrier Penetration with Adverse Event Report Embeddings

    • YiFan Wu ;
    • Justin Mower ;
    • Xiruo Ding ;
    • Oliver Li ;
    • Devika Subramanian ;
    • Trevor Cohen

    Predicting Drug Blood-Brain Barrier Penetration with Adverse Event Report Embeddings


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    Development of a Clinical Decision Support System to Predict Unplanned Cancer Readmissions

    • Danny T. Y. Wu ;
    • Tripura Vithala ;
    • Hoang Vu ;
    • Chen Xin ;
    • Lezhi Li ;
    • Amy Roberto ;
    • Adam Alexander ;
    • Devendra Sohal ;
    • Thomas Herzog ;
    • James Lee

    Development of a Clinical Decision Support System to Predict Unplanned Cancer Readmissions


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    Quantitative and Qualitative Evaluation of Provider Use of a Novel Machine Learning Model for Favorable Outcome Prediction

    • Elisabeth Yang ;
    • Yin Aphinyanaphongs ;
    • Paawan Punjabi ;
    • Jonathan Austrian ;
    • Batia Wiesenfeld

    Quantitative and Qualitative Evaluation of Provider Use of a Novel Machine Learning Model for Favorable Outcome Prediction


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    Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context

    • Zonghai Yao ;
    • Yi Cao ;
    • zhichao yang ;
    • Vijeta Deshpande ;
    • Hong Yu

    Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context


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    User Experience of Symptom Checkers: A Systematic Review

    • Yue You ;
    • Renkai Ma ;
    • Xinning Gui

    User Experience of Symptom Checkers: A Systematic Review


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    Comparing Caregiving Needs in Asian And White Family Caregivers through a Journaling Exercise Delivered by a Conversational Agent

    • Weichao Yuwen ;
    • Jessica Chang ;
    • Myra Divina ;
    • Xuehong Fan ;
    • William Kearns ;
    • Allysa Denyelle Peredo ;
    • Andrea Hartzler

    Comparing Caregiving Needs in Asian And White Family Caregivers through a Journaling Exercise Delivered by a Conversational Agent


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    An Analysis of Speech during Life Saving Interventions to Inform the Design of a Computerized System for Delay Detection

    • Katherine Zellner ;
    • Louis Jiorgio Villegas ;
    • Charles Neff ;
    • Waverly Gestrich-Thompson ;
    • Randall Burd ;
    • Ivan Marsic ;
    • Aleksandra Sarecevic

    An Analysis of Speech during Life Saving Interventions to Inform the Design of a Computerized System for Delay Detection


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    Application of Causal Discovery Algorithms in Studying the Nephrotoxicity of Remdesivir Using Longitudinal Data from the EHR

    • Jianqiu Zhang ;
    • Erich Kummerfield ;
    • Gretchen Hultman ;
    • Paul Drawz ;
    • Terrence Adams ;
    • Gyorgy Simon ;
    • Genevieve Melton

    Application of Causal Discovery Algorithms in Studying the Nephrotoxicity of Remdesivir Using Longitudinal Data from the EHR


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    Temporal Cohort Logic

    • Guo-Qiang Zhang ;
    • Xiaojin Li ;
    • Yan Huang ;
    • Licong Cui

    Temporal Cohort Logic


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    Inferring EHR Utilization Workflows through Audit Logs

    • Xinmeng Zhang ;
    • Yuying Zhao ;
    • Chao Yan ;
    • Tyler Derr ;
    • You Chen

    Inferring EHR Utilization Workflows through Audit Logs


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    Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19

    • Helen Zhou ;
    • Cheng Cheng ;
    • Kelly Shields ;
    • Gursimran Kochhar ;
    • Tariq Cheema ;
    • Zachary Lipton ;
    • Jeremy Weiss

    Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19


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