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  • Paper

    A Comparison of Exhaustive and Non-lattice-based Methods for Auditing Hierarchical Relations in Gene Ontology

    • Rashmie Abeysinghe ;
    • Fengbo Zheng ;
    • Licong Cui

    A Comparison of Exhaustive and Non-lattice-based Methods for Auditing Hierarchical Relations in Gene Ontology


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    Detecting Fine-Grained Emotions on Social Media during major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic

    • Olanrewaju Tahir Aduragba ;
    • Jialin Yu ;
    • Alexandra Cristea ;
    • Lei Shi

    Detecting Fine-Grained Emotions on Social Media during major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic


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    Expressing and Executing Informed Consent Permissions using SWRL: The All of Us Use Case

    • Muhamamd Amith ;
    • Marcelline Harris ;
    • Cooper Stansbury ;
    • Kathleen Ford ;
    • Frank J. Manion ;
    • Cui Tao

    Expressing and Executing Informed Consent Permissions using SWRL: The All of Us Use Case


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    Children's Designs for the Future of Telehealth

    • Erin Beneteau ;
    • Ann Paradiso ;
    • Wanda Pratt

    Children's Designs for the Future of Telehealth


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    A Framework for Inferring Epidemiological Model Parameters using Bayesian Nonparametrics

    • Oliver E. Bent ;
    • Charles Wachira ;
    • Sekou L. Remy ;
    • William Ogallo ;
    • Aisha Walcott

    A Framework for Inferring Epidemiological Model Parameters using Bayesian Nonparametrics


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    Comparing Older and Younger Adults Perceptions of Voice and Text-based Search for Consumer Health Information Tasks

    • Karen Bonilla ;
    • Brian Gaitan ;
    • Jaime Sanders ;
    • Noami Khenglawt ;
    • Aqueasha Martin-Hammond

    Comparing Older and Younger Adults Perceptions of Voice and Text-based Search for Consumer Health Information Tasks


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    Controversial Trials First: Identifying Disagreement Between Clinical Guidelines and New Evidence

    • Florian Borchert ;
    • Laura Meister ;
    • Thomas Langer ;
    • Markus Follmann ;
    • Bert Arnrich ;
    • Matthieu-P. Schapranow

    Controversial Trials First: Identifying Disagreement Between Clinical Guidelines and New Evidence


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    Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use

    • Marissa Borgese ;
    • Cara Joyce ;
    • Emily E. Anderson ;
    • Matthew M. Churpek ;
    • Majid Afshar

    Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use


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    Older adults’ personal health information management: The role and perspective of various healthcare providers

    • Alyssa L. Bosold ;
    • Shih-Yin Lin ;
    • Jean O. Taylor ;
    • George Demiris ;
    • Anne M. Turner

    Older adults’ personal health information management: The role and perspective of various healthcare providers


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    Using Machine Learning to Support Transfer of Best Practices in Healthcare

    • Sebastian Caldas ;
    • Jieshi Chen ;
    • ARTUR DUBRAWSKI

    Using Machine Learning to Support Transfer of Best Practices in Healthcare


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    Broken down by bias: Healthcare biases experienced by BIPOC and LGBTQ+ patients

    • Reggie Casanova-Perez ;
    • Calvin R. Apodaca ;
    • Emily Bascom ;
    • Deepthi Mohanraj ;
    • Cezanne Lane ;
    • Drishti Vidyarthi ;
    • Erin Beneteau ;
    • Janice Sabin ;
    • Wanda Pratt ;
    • Nadir Weibel ;
    • Andrea Hartzler

    Broken down by bias: Healthcare biases experienced by BIPOC and LGBTQ+ patients


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    Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data

    • Cheng Cheng ;
    • Helen Zhou ;
    • Jeremy Weiss ;
    • Zachary Lipton

    Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data


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    Transitions of Care: Completeness of the Interoperability Data Standard for Communication from Home Health Care to Primary Care

    • Edgar Chou ;
    • Paulina Sockolow

    Transitions of Care: Completeness of the Interoperability Data Standard for Communication from Home Health Care to Primary Care


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    Consolidated Environmental and Social Data Facilitates Neighborhood-Level Health Studies in Philadelphia

    • Colin W. Christie ;
    • Sherrie Xie ;
    • Avantika R. Diwadkar ;
    • Rebecca Greenblatt ;
    • Alexandra A. Rizaldi ;
    • Blanca E. Himes

    Consolidated Environmental and Social Data Facilitates Neighborhood-Level Health Studies in Philadelphia


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    Racial Disparity in Clinical Alert Overrides

    • James J. Cimino

    Racial Disparity in Clinical Alert Overrides


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    Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies

    • Celia Cintas ;
    • Victor Akinwande ;
    • Ramya Raghavendra ;
    • Girmaw Abebe Tadesse ;
    • Aisha Walcott ;
    • Charity Wayua ;
    • Frederick Makumbi ;
    • Rhoda Wanyenze ;
    • Komminist Weldemariam

    Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies


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    State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study

    • Raluca Cobzaru ;
    • Sharon Jiang ;
    • Kenney Ng ;
    • Stan Finkelstein ;
    • Roy Welsch ;
    • Zachary Shahn

    State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study


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    Vaping at the VA: Developing an Annotated Corpus of Electronic Cigarette Mentions in Clinical Notes at the Department of Veterans Affairs

    • Mike Conway ;
    • Patrick R. Alba ;
    • Shu-Hong Zhu ;
    • Olga V. Patterson

    Vaping at the VA: Developing an Annotated Corpus of Electronic Cigarette Mentions in Clinical Notes at the Department of Veterans Affairs


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    Testing of a Risk-Standardized Complication Rate Electronic Clinical Quality Measure (eCQM) for Total Hip and/or Total Knee Arthroplasty

    • Mica R. Curtin-Bowen ;
    • Troy Li ;
    • Avery Pullman ;
    • Alexandra Businger ;
    • Stuart Lipsitz ;
    • Ania Syrowatka ;
    • Michael Sainlaire ;
    • Tien Thai ;
    • Jay Lieberman ;
    • Aileen Davis ;
    • Bonnie Blanchfield ;
    • David W. Bates ;
    • Patricia C. Dykes

    Testing of a Risk-Standardized Complication Rate Electronic Clinical Quality Measure (eCQM) for Total Hip and/or Total Knee Arthroplasty


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    Mapping the Read2/CTV3 controlled clinical terminologies to Phecodes in UK Biobank primary care electronic health records: implementation and evaluation.

    • Spiros Denaxas ;
    • Ge Liu ;
    • QiPing Feng ;
    • Ghazaleh Fatemifar ;
    • Lisa Bastarache ;
    • Eric Kerchberger ;
    • Aroon Hingorani Tom Lumbers $lastName ;
    • Josh F. Peterson ;
    • Wei Wei-Qi ;
    • Harry Hemingway

    Mapping the Read2/CTV3 controlled clinical terminologies to Phecodes in UK Biobank primary care electronic health records: implementation and evaluation.


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    Golden opportunities for clinical decision support in an era of team-based medical care

    • Paul R. Dexter ;
    • Titus K. Schleyer

    Golden opportunities for clinical decision support in an era of team-based medical care


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    Impact of Clinical and Genomic Factors on COVID-19 Disease Severity

    • Sanjoy Dey ;
    • Aritra Bose ;
    • Saubrata Saha ;
    • Prithwish Chakraborty ;
    • Mohamed Ghalwash ;
    • Filippo Utro ;
    • Aldo Guzman-Saenz ;
    • Kenney Ng ;
    • Jianying Hu ;
    • Laxmi Parida ;
    • Daby Sow

    Impact of Clinical and Genomic Factors on COVID-19 Disease Severity


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    Developing a Data Quality Standard Primer for Cardiovascular Risk Assessment from Electronic Health Record Data Using the DataGauge Process

    • Franck Diaz-Garelli ;
    • Andrew M. Long ;
    • Michael P. Bancks ;
    • Alain G. Bertoni ;
    • Adhithya Narayanan ;
    • Brian Wells

    Developing a Data Quality Standard Primer for Cardiovascular Risk Assessment from Electronic Health Record Data Using the DataGauge Process


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    Technology to Support Collaborative Dissemination of Research with Alaska Native Communities

    • Lisa G. Dirks ;
    • Wanda Pratt

    Technology to Support Collaborative Dissemination of Research with Alaska Native Communities


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    Development of four electronic clinical quality measures (eCQMs) for use in the Merit-based Incentive Payment System (MIPS) following elective primary total hip and knee arthroplasty

    • Patricia C. Dykes ;
    • Mica R. Curtin-Bowen ;
    • Troy Li ;
    • Avery Pullman ;
    • Alexandra Businger ;
    • Stuart Lipsitz ;
    • Ania Syrowatka ;
    • Michael Sainlaire ;
    • Tien Thai ;
    • David W. Bates

    Development of four electronic clinical quality measures (eCQMs) for use in the Merit-based Incentive Payment System (MIPS) following elective primary total hip and knee arthroplasty


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    Clinical Note Section Detection Using a Hidden Markov Model of Unified Medical Language System Semantic Types

    • Aaron S. Eisman ;
    • Katherine A. Brown ;
    • Elizabeth S. Chen ;
    • Indra N. Sarkar

    Clinical Note Section Detection Using a Hidden Markov Model of Unified Medical Language System Semantic Types


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    Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology

    • Jonathan P. Epperlein ;
    • Mykhaylo Zayats ;
    • Seshu Tirupathi ;
    • Sergiy Zhuk ;
    • Tigran Tchrakian ;
    • Pol Mac Aonghusa ;
    • Donal F. O'Shea ;
    • Niall Hardy ;
    • Jeffrey Dalli ;
    • Ronan A. Cahill

    Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology


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    Launching into clinical space with medspaCy: a new clinical text processing toolkit in Python

    • Hannah Eyre ;
    • Alec B. Chapman ;
    • Kelly S. Peterson ;
    • Jianlin Shi ;
    • Patrick R. Alba ;
    • Makoto M. Jones ;
    • Tamara L. Box ;
    • Scott L. DuVall ;
    • Olga V. Patterson

    Launching into clinical space with medspaCy: a new clinical text processing toolkit in Python


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    A Machine Learning Pipeline for Accurate COVID-19 Health Outcome Prediction using Longitudinal Electronic Health Records

    • Alice Feng

    A Machine Learning Pipeline for Accurate COVID-19 Health Outcome Prediction using Longitudinal Electronic Health Records


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    Chart Completion Time of Attending Physicians While Using Medical Scribes

    • Sarah T. Florig ;
    • Sky Corby ;
    • Nicholas T. Rosson ;
    • Tanuj Devara ;
    • Nicole G. Weiskopf ;
    • Jeffrey A. Gold ;
    • Vishnu Mohan

    Chart Completion Time of Attending Physicians While Using Medical Scribes


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    Parsing Immune Correlates of Protection Against SARS-CoV-2 from Biomedical Literature

    • Sydney L. Foote ;
    • Sara E. Jones ;
    • Jane Lockmuller ;
    • Liliana Brown ;
    • Joseph Breen ;
    • Anupama E. Gururaj

    Parsing Immune Correlates of Protection Against SARS-CoV-2 from Biomedical Literature


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    Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream Transformer

    • Sajjad Fouladvand ;
    • Jeffery C. Talbert ;
    • Linda P. Dwoskin ;
    • Bush M. Heather ;
    • Amy L. Meadows ;
    • Lars E. Peterson ;
    • Steve Roggenkamp ;
    • Ramakanth Kavuluru ;
    • Jin Chen

    Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream Transformer


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    Outcome Prediction from Behaviour Change Intervention Evaluations using a Combination of Node and Word Embedding

    • Debasis Ganguly ;
    • Martin Gleize ;
    • Yufang Hou ;
    • Charles Jochim ;
    • Francesca Bonin ;
    • Alessandra Pascale ;
    • Pierpaolo Tommasi ;
    • Pol Mac Aonghusa ;
    • Robert West ;
    • Marie Johnston ;
    • Mike Kelly ;
    • Susan Michie

    Outcome Prediction from Behaviour Change Intervention Evaluations using a Combination of Node and Word Embedding


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    Impact of COVID-19 Pandemic on Emergency Department Visits: A Regional Case Study of Informatics Challenges and Opportunities

    • Hamid Ghaderi ;
    • Jeffrey Stowell ;
    • Murtaza Akhter ;
    • Craig Norquist ;
    • Paul E. Pugsley ;
    • Vignesh Subbian

    Impact of COVID-19 Pandemic on Emergency Department Visits: A Regional Case Study of Informatics Challenges and Opportunities


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    Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS

    • Gregory C. Ghahramani ;
    • Matthew Brendel ;
    • Mingquan Lin ;
    • Qingyu Chen ;
    • Tiarnan D. Keenan ;
    • Kun Chen ;
    • Emily Y. Chew ;
    • Zhiyong Lu ;
    • Yifan Peng ;
    • Fei Wang

    Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS


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    Simulating Screening for Risk of Childhood Diabetes: The Collaborative Open Outcomes tooL (COOL)

    • Mohamed Ghalwash ;
    • Eileen Koski ;
    • Riitta Veijola ;
    • Jorma Toppari ;
    • William Hagopian ;
    • Marian Rewers ;
    • Vibha Anand

    Simulating Screening for Risk of Childhood Diabetes: The Collaborative Open Outcomes tooL (COOL)


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    On the explainability of hospitalization prediction on a large COVID-19 patient dataset

    • Ivan Girardi ;
    • Panagiotis Vagenas ;
    • Dario Arcos-Diaz ;
    • Lydia Bessaï ;
    • Alexander Büsser ;
    • Ludovico Furlan ;
    • Raffaello Furlan ;
    • Mauro Gatti ;
    • Andrea Giovannini ;
    • Ellen Hoeven ;
    • Chiara Marchiori

    On the explainability of hospitalization prediction on a large COVID-19 patient dataset


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    Weak Supervision for Affordable Modeling of Electrocardiogram Data

    • Mononito Goswami ;
    • Benedikt Boecking ;
    • ARTUR DUBRAWSKI

    Weak Supervision for Affordable Modeling of Electrocardiogram Data


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    Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays

    • Yan Han ;
    • Chongyan Chen ;
    • Liyan Tang ;
    • Mingquan Lin ;
    • Ajay Jaiswal ;
    • Song Wang ;
    • Ahmed Tewfik ;
    • George Shih ;
    • Ying Ding ;
    • Yifan Peng

    Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays


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    A Federated Mining Approach on Predicting Diabetes-Related Complications: Demonstration Using Real-World Clinical Data

    • Humayera Islam ;
    • Abu S. Mosa

    A Federated Mining Approach on Predicting Diabetes-Related Complications: Demonstration Using Real-World Clinical Data


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    A Proposed Patient-Inclusive Methodology for Developing and Validating Telehealth Surveys that Include Social Determinants of Health

    • Mitchell Izower ;
    • Zoe Liao ;
    • Jeongeun Kim ;
    • Yuri Quintana

    A Proposed Patient-Inclusive Methodology for Developing and Validating Telehealth Surveys that Include Social Determinants of Health


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    Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization

    • Ashutosh Jadhav ;
    • Tyler Baldwin ;
    • Joy T. Wu ;
    • Vandana Mukherjee ;
    • Tanveer Syeda-Mahmood

    Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization


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    Learning Predictive and Interpretable Timeseries Summaries from ICU Data

    • Nari Johnson ;
    • Sonali Parbhoo ;
    • Andrew Ross ;
    • Finale Doshi-Velez

    Learning Predictive and Interpretable Timeseries Summaries from ICU Data


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    Unsupervised characterization of Major Depressive Disorder medication treatment pathways

    • Barrett Jones ;
    • Colin G. Walsh

    Unsupervised characterization of Major Depressive Disorder medication treatment pathways


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    Gene-Based Analysis Reveals Sex-Specific Genetic Risk Factors of COPD

    • Jaehyun Joo ;
    • Blanca E. Himes

    Gene-Based Analysis Reveals Sex-Specific Genetic Risk Factors of COPD


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    Automated Mapping of Real-world Oncology Laboratory Data to LOINC

    • Jonathan Kelly ;
    • Chen Wang ;
    • Jianyi Zhang ;
    • Spandan Das ;
    • Anna Ren ;
    • Pradnya Warnekar

    Automated Mapping of Real-world Oncology Laboratory Data to LOINC


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    Human Factors Considerations in Transitions in Care Clinical Decision Support System Implementation Studies

    • Erin E. Kennedy ;
    • Kathryn H. Bowles

    Human Factors Considerations in Transitions in Care Clinical Decision Support System Implementation Studies


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    Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports

    • Mirza S. Khan ;
    • Bennett A. Landman ;
    • Stephen A. Deppen ;
    • Michael E. Matheny

    Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports


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    Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine

    • Grace Y.E. Kim ;
    • Morteza Noshad ;
    • Henning Stehr ;
    • Rebecca Rojansky ;
    • Dita Gratzinger ;
    • Jean Oak ;
    • Rondeep Brar ;
    • David Iberri ;
    • Christina Kong ;
    • James Zehnder ;
    • Jonathan H. Chen

    Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine


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    Predicting Motor Responsiveness to Deep Brain Stimulation with Machine Learning

    • Kevin J. Krause ;
    • Fenna Phibbs ;
    • Thomas Davis ;
    • Daniel Fabbri

    Predicting Motor Responsiveness to Deep Brain Stimulation with Machine Learning


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    Trust and credibility of information sources related to COVID-19 among high-risk ethnically diverse adults at the onset of the New York City outbreak: A cross-sectional survey conducted via a community health portal

    • Rita Kukafka ;
    • Mari Millery ;
    • Samuel Pan ;
    • Thomas B. Silverman

    Trust and credibility of information sources related to COVID-19 among high-risk ethnically diverse adults at the onset of the New York City outbreak: A cross-sectional survey conducted via a community health portal


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    Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation

    • Wilson Lau ;
    • Laura Aaltonen ;
    • Martin L. Gunn ;
    • Meliha Yetisgen

    Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation


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    Hybrid Ensemble-Rule Algorithm for Improved MEDLINE® Sentence Boundary Detection.

    • Daniel X. Le ;
    • James G. Mork ;
    • Sameer Antani

    Hybrid Ensemble-Rule Algorithm for Improved MEDLINE® Sentence Boundary Detection.


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    Strategies for Disease Containment: A Biological-Behavioral-Intervention Computational Informatics Framework

    • Eva K. Lee ;
    • Yifan Liu ;
    • Fan Yuan ;
    • Ferdinand H. Pietz

    Strategies for Disease Containment: A Biological-Behavioral-Intervention Computational Informatics Framework


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    Incidence and Impact of Missing Functional Elements on Information Comprehension using Audio and Text

    • Gondy Leroy ;
    • David Kauchak ;
    • Nick Kloehn

    Incidence and Impact of Missing Functional Elements on Information Comprehension using Audio and Text


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    Teaching Medical Students Health Care Failure Mode and Effect Analysis: A Case Study of Inpatient Pain Management Computerized Decision Support

    • Blake J. Lesselroth ;
    • William Dudney ;
    • Juell Homco ;
    • Melissa Van Cain ;
    • savanna smith ;
    • Audrey Corbett

    Teaching Medical Students Health Care Failure Mode and Effect Analysis: A Case Study of Inpatient Pain Management Computerized Decision Support


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    Validation of Real-World Data-based Endpoint Measures of Cancer Treatment Outcomes

    • Qian Li ;
    • Hansi Zhang ;
    • Zhaoyi Chen ;
    • Yi Guo ;
    • Thomas J. George ;
    • Yong Chen ;
    • Fei Wang ;
    • Jiang Bian

    Validation of Real-World Data-based Endpoint Measures of Cancer Treatment Outcomes


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    Integrating Multimodal Electronic Health Records for Diagnosis Prediction

    • Rui Li ;
    • Fenglong Ma ;
    • Jing Gao

    Integrating Multimodal Electronic Health Records for Diagnosis Prediction


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    Testing of a Risk-Standardized Major Bleeding and Venous Thromboembolism Electronic Clinical Quality Measure for Elective Total Hip and/or Knee Arthroplasties

    • Troy Li ;
    • Mica R. Curtin-Bowen ;
    • Avery Pullman ;
    • Stuart Lipsitz ;
    • Ania Syrowatka ;
    • Michael Sainlaire ;
    • Tien Thai ;
    • Alexandra Businger ;
    • Aileen Davis ;
    • Jay Lieberman ;
    • Bonnie Blanchfield ;
    • David W. Bates ;
    • Patricia C. Dykes

    Testing of a Risk-Standardized Major Bleeding and Venous Thromboembolism Electronic Clinical Quality Measure for Elective Total Hip and/or Knee Arthroplasties


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    Identifying Sleep-Related Factors Associated with Cognitive Function in a Hispanics/Latinos Cohort: A Dual Random Forest Approach

    • Xiaojin Li ;
    • Licong Cui ;
    • Fei Wang ;
    • Paul E. Schulz ;
    • Guo-Qiang Zhang

    Identifying Sleep-Related Factors Associated with Cognitive Function in a Hispanics/Latinos Cohort: A Dual Random Forest Approach


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    Imputing Longitudinal Growth Data in International Pediatric Studies: Does CDC Reference Suffice?

    • Zhiguo Li ;
    • Jorma Toppari ;
    • Markus Lundgren ;
    • Brigitte I. Frohnert ;
    • Peter Achenbach ;
    • Riitta Veijola ;
    • Vibha Anand

    Imputing Longitudinal Growth Data in International Pediatric Studies: Does CDC Reference Suffice?


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    Reducing Physicians’ Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record

    • Jennifer J. Liang ;
    • Ching-Huei Tsou ;
    • bharath dandala ;
    • Ananya Poddar ;
    • Venkata Joopudi ;
    • Diwakar Mahajan ;
    • John M. Prager ;
    • Preethi Raghavan ;
    • Michele Payne

    Reducing Physicians’ Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record


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    Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients

    • Wei-Chun Lin ;
    • Jimmy Chen ;
    • Joel V. Kaluzny ;
    • Aiyin Chen ;
    • Michael Chiang ;
    • Michelle R. Hribar

    Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients


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    Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts

    • Lei Liu ;
    • Danny T. Wu ;
    • Stephen A. Spooner ;
    • Yizhao Ni

    Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts


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    De-identifying Socioeconomic Data at the Census Tract Level for Medical Research Through Constraint-based Clustering

    • Yongtai Liu ;
    • Douglas Conway ;
    • Zhiyu Wan ;
    • Murat Kantarcioglu ;
    • Yevgeniy Vorobeychik ;
    • Bradley A. Malin

    De-identifying Socioeconomic Data at the Census Tract Level for Medical Research Through Constraint-based Clustering


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    Application of the i-PARIHS framework in the implementation of speech recognition technology as a way of addressing documentation burden within a mental health context

    • Brian Lo ;
    • Khaled Almilaji ;
    • Damian Jankowicz ;
    • Lydia Sequeira ;
    • Gillian Strudwick ;
    • Tania Tajirian

    Application of the i-PARIHS framework in the implementation of speech recognition technology as a way of addressing documentation burden within a mental health context


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    Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions

    • Shuyu Lu ;
    • Ruoyu Chen ;
    • Wei Wei ;
    • Mia Belovsky ;
    • Xinghua Lu

    Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions


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    Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework

    • Kevin Lybarger ;
    • Linzee Mabrey ;
    • Matthew R. Thau ;
    • Pavan Bhatraju ;
    • Mark Wurfel ;
    • Meliha Yetisgen

    Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework


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    Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives

    • Diwakar Mahajan ;
    • Jennifer J. Liang ;
    • Ching-Huei Tsou

    Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives


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    Extraction of Electronic Health Record Data using Fast Healthcare Interoperability Resources for Automated Breast Cancer Risk Assessment

    • Julia E. McGuinness ;
    • Tianmai Zhang ;
    • Kevin Cooper ;
    • Arusha Kelkar ;
    • Jill Dimond ;
    • Virginia Lorenzi ;
    • Katherine Crew ;
    • Rita Kukafka

    Extraction of Electronic Health Record Data using Fast Healthcare Interoperability Resources for Automated Breast Cancer Risk Assessment


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    On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer

    • Sameh K. Mohamed ;
    • Brian Walsh ;
    • Mohan Timilsina ;
    • Vit Novacek ;
    • Maria Torrente ;
    • Fabio Franco ;
    • Mariano Provencio ;
    • Adrianna Janik ;
    • Luca Costabello ;
    • Pontus Stenetorp ;
    • Pasquale Minervini

    On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer


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    Word Embedding and Clustering for Patient-Centered Redesign of Appointment Scheduling in Ambulatory Care Settings

    • Iman Mohammadi ;
    • Saeed Mehrabi ;
    • Bryce Sutton ;
    • Huanmei Wu

    Word Embedding and Clustering for Patient-Centered Redesign of Appointment Scheduling in Ambulatory Care Settings


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    Agile Implementation of Innovative End to End Technical Solutions for Respiratory Testing in the COVID-19 Pandemic

    • Tamara D. Moores Todd ;
    • Kathryn G. Kuttler ;
    • Diego Ize-Ludlow

    Agile Implementation of Innovative End to End Technical Solutions for Respiratory Testing in the COVID-19 Pandemic


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    Towards more patient friendly clinical notes through language models and ontologies

    • Francesco Moramarco ;
    • Damir JURIC ;
    • Aleksandar Savkov ;
    • Jack Flann ;
    • Maria Lehl ;
    • Tessa Grafen ;
    • Kristian Boda ;
    • Vitalii Zhelezniak ;
    • Sunir Gohil ;
    • Alex Papadopoulos Korfiatis ;
    • Nils Hammerla

    Towards more patient friendly clinical notes through language models and ontologies


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    First-line drug resistance profiling of Mycobacterium tuberculosis: a machine learning approach

    • Stephanie J. Müller ;
    • Rebone Meraba ;
    • Gciniwe Dlamini ;
    • Darlington Mapiye

    First-line drug resistance profiling of Mycobacterium tuberculosis: a machine learning approach


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    Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury

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

    Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury


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    Semantic Search for Large Scale Clinical Ontologies

    • Duy-Hoa Ngo ;
    • Madonna Kemp ;
    • Donna L. Truran ;
    • Bevan Koopman ;
    • Alejandro Metke-Jimenez

    Semantic Search for Large Scale Clinical Ontologies


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    Towards a framework for comparing functionalities of multimorbidity clinical decision support: A literature-based feature set and benchmark cases

    • Dympna O'Sullivan ;
    • William Van Woensel ;
    • Szymon Wilk ;
    • Samson Tu ;
    • Wojtek Michalowski ;
    • Samina Abidi ;
    • Marc Carrier ;
    • Ruth Edry ;
    • Irit Hochberg ;
    • Stephen P. Kingswell ;
    • Alexandra Kogan ;
    • Martin Michalowski ;
    • Hugh O'Sullivan ;
    • Mor Peleg

    Towards a framework for comparing functionalities of multimorbidity clinical decision support: A literature-based feature set and benchmark cases


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    Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization

    • Michal Ozery-Flato ;
    • Ora Pinchasov ;
    • Miel Dabush-Kasa ;
    • Efrat Hexter ;
    • Gabriel Chodick ;
    • Michal Guindy ;
    • Michal Rosen-Zvi

    Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization


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    Discovering Associations between Social Determinants and Health Outcomes: Merging Knowledge Graphs from Literature and Electronic Health Data

    • Yoonyoung Park ;
    • Natasha Mulligan ;
    • Martin Gleize ;
    • Morten Kristiansen ;
    • Joao H. Bettencourt-Silva

    Discovering Associations between Social Determinants and Health Outcomes: Merging Knowledge Graphs from Literature and Electronic Health Data


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    Implementation matters: How patient experiences differ when genetic counseling accompanies the return of genetic variants of uncertain significance

    • Harsh V. Patel ;
    • Nora Henrikson ;
    • James D. Ralston ;
    • Kathleen A. Leppig ;
    • Aaron Scrol ;
    • Gail P. Jarvik ;
    • Shannon DeVange ;
    • Eric Larson ;
    • Andrea Hartzler

    Implementation matters: How patient experiences differ when genetic counseling accompanies the return of genetic variants of uncertain significance


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    Creation of a Mapped, Machine-Readable Taxonomy to Facilitate Extraction of Social Determinants of Health Data from Electronic Health Records

    • Svati B. Patel ;
    • Nam Nguyen

    Creation of a Mapped, Machine-Readable Taxonomy to Facilitate Extraction of Social Determinants of Health Data from Electronic Health Records


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    Characterization of Electronic Health Record Documentation Shortcuts: Does the use of dotphrases increase efficiency in the Emergency Department?

    • Rimma Perotte ;
    • Christina Hajicharalambous ;
    • Gregory Sugalski ;
    • Joseph Underwood

    Characterization of Electronic Health Record Documentation Shortcuts: Does the use of dotphrases increase efficiency in the Emergency Department?


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    Feasibility of Mobile and Sensor Technology for Remote Monitoring in Cancer Care and Prevention

    • Susan K. Peterson ;
    • Karen Basen-Engquist ;
    • Wendy Demark-Wahnefried ;
    • Alexander Prokhorov ;
    • Eileen Shinn ;
    • Stephanie L. Martch ;
    • Beth M. Beadle ;
    • Adam S. Garden ;
    • Emilia Farcas ;
    • G. B. Gunn ;
    • Clifton D. Fuller ;
    • William H. Morrison ;
    • David I. Rosenthal ;
    • Jack Phan ;
    • Cathy Eng ;
    • Paul Cinciripini ;
    • Maher Karam-Hage ;
    • Maria A. Camero Garcia ;
    • Kevin Patrick

    Feasibility of Mobile and Sensor Technology for Remote Monitoring in Cancer Care and Prevention


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    Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model

    • Jimmy Phuong ;
    • Elizabeth Zampino ;
    • Nicholas J. Dobbins ;
    • Juan Espinoza ;
    • Daniella Meeker ;
    • Heidi Spratt ;
    • Charisse Madlock-Brown ;
    • Nicole G. Weiskopf ;
    • Adam Wilcox

    Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model


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    Cognitive Function Characterization Using Electronic Health Records Notes

    • Adrienne Pichon ;
    • Betina Idnay ;
    • Rebecca Schnall ;
    • Karen Marder ;
    • Chunhua Weng

    Cognitive Function Characterization Using Electronic Health Records Notes


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    NetworkSIR and EnvironmentalSIR: Effective, Open-Source Epidemic Modeling in the Absence of Data

    • Madison A. Pickering ;
    • Subbarayan Venkatesan ;
    • Christoph U. Lehmann ;
    • Sameh Saleh ;
    • Richard J. Medford

    NetworkSIR and EnvironmentalSIR: Effective, Open-Source Epidemic Modeling in the Absence of Data


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    Epilepsy-Connect: An Integrated Knowledgebase for Characterizing Alterations in Consciousness State of Pharmacoresistant Epilepsy Patients

    • Katrina Prantzalos ;
    • Jianzhe Zhang ;
    • Nassim Shafiabadi ;
    • Guadalupe Fernandez-BacaVaca ;
    • Satya S. Sahoo

    Epilepsy-Connect: An Integrated Knowledgebase for Characterizing Alterations in Consciousness State of Pharmacoresistant Epilepsy Patients


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    Investigating Health Information Technology Usage by Sociodemographic Subpopulations to Increase Community Engagement in Healthcare: An Analysis of the Health Information National Trends Survey

    • Geetanjali Rajamani ;
    • Lianne Kurina ;
    • Lisa G. Rosas

    Investigating Health Information Technology Usage by Sociodemographic Subpopulations to Increase Community Engagement in Healthcare: An Analysis of the Health Information National Trends Survey


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    DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning

    • Sirisha Rambhatla ;
    • Samantha Huang ;
    • Loc Trinh ;
    • Mengfei Zhang ;
    • Boyuan Long ;
    • Mingtao Dong ;
    • Vyom Unadkat ;
    • Haig Yenikomshian ;
    • Justin Gillenwater ;
    • Yan Liu

    DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning


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    Development of an Online Contraceptive Decision Aid for College Women

    • Molly Redman ;
    • Jenny Brian ;
    • Dongwen Wang

    Development of an Online Contraceptive Decision Aid for College Women


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    Comparing Scribed and Non-scribed Outpatient Progress Notes

    • Adam Rule ;
    • Sarah T. Florig ;
    • Steven Bedrick ;
    • Vishnu Mohan ;
    • Jeffrey A. Gold ;
    • Michelle R. Hribar

    Comparing Scribed and Non-scribed Outpatient Progress Notes


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    Design of digital walking programs that engage prostate cancer survivors: Needs and preferences from focus groups

    • Savitha Sangameswaran ;
    • Courtney Segal ;
    • Dori E. Rosenberg ;
    • Reggie Casanova-Perez ;
    • David J. Cronkite ;
    • John L. Gore ;
    • Andrea Hartzler

    Design of digital walking programs that engage prostate cancer survivors: Needs and preferences from focus groups


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    A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text

    • Thiago Santos ;
    • Omar Kallas ;
    • Janice Newsome ;
    • Daniel Rubin ;
    • Judy W. Gichoya ;
    • Imon Banerjee

    A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text


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    Predictors of Retention for Community-Based Telehealth Programs: A Study of the Telehealth Intervention Program for Seniors (TIPS)

    • Melody K. Schiaffino ;
    • Zhan Zhang ;
    • David Sachs ;
    • John Migliaccio ;
    • Jina Huh-Yoo

    Predictors of Retention for Community-Based Telehealth Programs: A Study of the Telehealth Intervention Program for Seniors (TIPS)


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    Cross-Vendor CT Image Data Harmonization Using CVH-CT

    • Md Selim ;
    • Jie Zhang ;
    • Baowei Fei ;
    • Guo-Qiang Zhang ;
    • Gary Yeeming Ge ;
    • Jin Chen

    Cross-Vendor CT Image Data Harmonization Using CVH-CT


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    Comparing Deep Learning and Conventional Machine Learning Models for Predicting Mental Illness from History of Present Illness Notations

    • Ingroj Shrestha ;
    • Padmini Srinivasan

    Comparing Deep Learning and Conventional Machine Learning Models for Predicting Mental Illness from History of Present Illness Notations


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    BlockIoT: Blockchain-based Health Data Integration using IoT Devices

    • Manan M. Shukla ;
    • Jianjing Lin ;
    • Oshani Seneviratne

    BlockIoT: Blockchain-based Health Data Integration using IoT Devices


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    Prediction of Resuscitation for Pediatric Sepsis from Data Available at Triage

    • Peter A. Stella ;
    • Elizabeth Haines ;
    • Yindalon Aphinyanaphongs

    Prediction of Resuscitation for Pediatric Sepsis from Data Available at Triage


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    Assessing the Readability of App Descriptions and Investigating its Role in the Choice of mHealth Apps: Retrospective and Prospective Analyses

    • Wu-Chen Su ;
    • Khyati Mehta ;
    • Kirandeep Gill ;
    • Peng Yeh ;
    • Ming-Yuan Chih ;
    • Danny T. Wu

    Assessing the Readability of App Descriptions and Investigating its Role in the Choice of mHealth Apps: Retrospective and Prospective Analyses


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    The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse

    • Daniel To ;
    • Cara Joyce ;
    • Sujay Kulshrestha ;
    • Brihat Sharma ;
    • Dmitriy Dligach ;
    • Matthew Churpek ;
    • Majid Afshar

    The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse


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    Increased Clinician Time Using Electronic Health Records During COVID-19 Pandemicx

    • Timothy Tsai ;
    • Mina Boazak ;
    • Eugenia R. McPeek Hinz

    Increased Clinician Time Using Electronic Health Records During COVID-19 Pandemicx


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    Healthy Lifestyle and Mood: A Biomedical Informatics Citizen Science Project in a High School Classroom

    • Jennifer Ushe ;
    • Doug Redd ;
    • Scarlyn Gutierrez Nunez ;
    • Eduardo A. Trujillo-Rivera ;
    • Senait Tekle ;
    • Stuart J. Nelson ;
    • Qing T. Zeng

    Healthy Lifestyle and Mood: A Biomedical Informatics Citizen Science Project in a High School Classroom


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    A Practical Approach for Monitoring the Use of Copy-Paste in Clinical Notes

    • David K. Vawdrey ;
    • William Cauthorn ;
    • Diane Francis ;
    • Kathy Hackenberg ;
    • Gerald Maloney ;
    • Benjamin Hohmuth

    A Practical Approach for Monitoring the Use of Copy-Paste in Clinical Notes


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    Enhancing the IDEAS Framework with Ontology: Designing Digital Interventions for Improving Cancer Patients' Wellbeing

    • Nicole Veggiotti ;
    • Lucia Sacchi ;
    • Mor Peleg

    Enhancing the IDEAS Framework with Ontology: Designing Digital Interventions for Improving Cancer Patients' Wellbeing


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    Creating a Home for Genomic Data in the Electronic Health Record

    • Nephi Walton ;
    • Darren Johnson ;
    • Bret Heale ;
    • Thomas Person ;
    • Marc Williams

    Creating a Home for Genomic Data in the Electronic Health Record


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    Axes of Prognosis: Identifying Subtypes of COVID-19 Outcomes

    • Emma Whitfield ;
    • Claire Coffey ;
    • Huayu Zhang ;
    • Ting Shi ;
    • Xiaodong Wu ;
    • Qiang Li ;
    • Honghan Wu

    Axes of Prognosis: Identifying Subtypes of COVID-19 Outcomes


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    Design and development of an informatics-driven implementation research framework for primary care studies

    • Jiancheng Ye

    Design and development of an informatics-driven implementation research framework for primary care studies


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    Characterizing Brain Signals for Epileptic Pre-ictal Signal Classification

    • Hao Yu ;
    • Shize Jiang ;
    • Yan Huang ;
    • Xiaojin Li ;
    • Xiaoling Wang ;
    • Liang Chen ;
    • Jin Chen

    Characterizing Brain Signals for Epileptic Pre-ictal Signal Classification


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    A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models

    • Zehao Yu ;
    • Xi Yang ;
    • Chong Dang ;
    • Songzi Wu ;
    • Prakash Adekkanattu ;
    • Jyotishman Pathak ;
    • Thomas J. George ;
    • William Hogan ;
    • Yi Guo ;
    • Jiang Bian ;
    • Yonghui Wu

    A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models


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    Validation of Administrative Coding and Clinical Notes for Hospital-Acquired Acute Kidney Injury in Adults

    • Jianqiu Zhang ;
    • Paul E. Drawz ;
    • Ying Zhu ;
    • Gretchen M. Hultman ;
    • Gyorgy Simon ;
    • Genevieve B. Melton

    Validation of Administrative Coding and Clinical Notes for Hospital-Acquired Acute Kidney Injury in Adults


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    Characterizing Brain Network Dynamics using Persistent Homology in Patients with Refractory Epilepsy

    • Jianzhe Zhang ;
    • Roland Bauman ;
    • Nassim Shafiabadi ;
    • Nick Gurski ;
    • Guadalupe Fernandez-BacaVaca ;
    • Satya S. Sahoo

    Characterizing Brain Network Dynamics using Persistent Homology in Patients with Refractory Epilepsy


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    User Needs and Challenges in Information Sharing between Pre-Hospital and Hospital Emergency Care Providers

    • Zhan Zhang ;
    • Aleksandra Sarcevic ;
    • Karen Joy ;
    • Mustafa Ozkaynak ;
    • Kathleen Adelgais

    User Needs and Challenges in Information Sharing between Pre-Hospital and Hospital Emergency Care Providers


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    Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets

    • Yunpeng Zhao ;
    • Pengfei Yin ;
    • Yongqiu Li ;
    • Xing He ;
    • Jingcheng Du ;
    • Cui Tao ;
    • Yi Guo ;
    • Mattia Prosperi ;
    • Pierangelo Veltri ;
    • Xi Yang ;
    • Yonghui Wu ;
    • Jiang Bian

    Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets


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    Towards Digestible Digital Health Solutions: Application of a Health Literacy Inclusive Development Framework for Peripartum Depression Management

    • Alexandra Zingg ;
    • Tavleen Singh ;
    • Sahiti Myneni

    Towards Digestible Digital Health Solutions: Application of a Health Literacy Inclusive Development Framework for Peripartum Depression Management


    You must log in to view this content. All contents are accessible to AMIA members and meeting attendees. If you are interested in purchasing proceedings, please contact us at mail@amia.org