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  • Frontal
  • Podium Abstract

    Expert-level prenatal detection of complex congenital heart disease from screening ultrasound using deep learning

    • Rima Arnaout ;
    • Lara Curran ;
    • Yili Zhao ;
    • Jami Levine ;
    • Erin Chinn ;
    • Anita Moon-Grady

    Expert-level prenatal detection of complex congenital heart disease from screening ultrasound using deep learning


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    A Generalizable Framework for Exhaustive Cost-Effectiveness Analysis of Drugs for a Given Clinical Indication Leveraging Real-World Evidence

    • Douglas Arneson ;
    • Rohit Vashisht ;
    • Atul Butte

    A Generalizable Framework for Exhaustive Cost-Effectiveness Analysis of Drugs for a Given Clinical Indication Leveraging Real-World Evidence


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    Using SNOMED CT Relationships for Data Exploration and Discovery in Rare Diseases - An Interactive Data Visualization Tool

    • Tom Balmat ;
    • Rachel Richesson

    Using SNOMED CT Relationships for Data Exploration and Discovery in Rare Diseases - An Interactive Data Visualization Tool


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    Quantifying COVID-19 In-hospital Deterioration Risk Using Acuity at Admission as Measured by the Rothman Index

    • Joseph Beals ;
    • Jaime Barnes ;
    • Daniel Durand ;
    • Joan Rimar ;
    • Thomas Donohue ;
    • Mahfuz Hoq ;
    • Kathy Belk ;
    • Alpesh Amin ;
    • Michael Rothman

    Quantifying COVID-19 In-hospital Deterioration Risk Using Acuity at Admission as Measured by the Rothman Index


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    Node and Edge Enrichment Analysis through Bipartite Networks: Application to Gene Mutations in Breast Cancer

    • Suresh K. Bhavnani ;
    • Jeremy L. Warner ;
    • Tianlong Chen ;
    • Weibin Zhang ;
    • zhou zhang ;
    • Charles Balch ;
    • Sandra Hatch ;
    • Klimberg Suzanne ;
    • Ning Liao

    Node and Edge Enrichment Analysis through Bipartite Networks: Application to Gene Mutations in Breast Cancer


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    Impact of variable look-back period length on cardiovascular outcomes when using electronic health record data for epidemiologic research

    • Nrupen A. Bhavsar ;
    • John Pura ;
    • Ann M. Navar ;
    • Anne Hellkamp ;
    • Paul Muntner ;
    • Matthew Maciejewski ;
    • Sudha Raman ;
    • Bradley G. Hammill ;
    • Lesley Curtis ;
    • Ebony Boulware

    Impact of variable look-back period length on cardiovascular outcomes when using electronic health record data for epidemiologic research


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    Applying a computational transcriptomics-based drug repositioning pipeline to identify therapeutic candidates for endometriosis

    • Arohee Bhoja ;
    • Daniel Bunis ;
    • Brian Le ;
    • Idit Kosti ;
    • Christine Li ;
    • Sahar Houshdaran ;
    • Sushmita Sen ;
    • Julia Vallve Juanico ;
    • Juan Irwin ;
    • Wanxin Wang ;
    • Linda Giudice ;
    • Marina Sirota

    Applying a computational transcriptomics-based drug repositioning pipeline to identify therapeutic candidates for endometriosis


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    Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality

    • Tiffany J. Callahan ;
    • Jordan M. Wyrwa ;
    • Nicole Vasilevsky ;
    • Peter N. Robinson ;
    • Melissa A. Haendel ;
    • Lawrence E. Hunter ;
    • Michael G. Kahn

    Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality


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    The Impact of Sickle Cell Status on Adverse Delivery Outcomes Using Electronic Health Record Data

    • Silvia P. Canelón ;
    • Samantha Butts ;
    • Mary Regina Boland

    The Impact of Sickle Cell Status on Adverse Delivery Outcomes Using Electronic Health Record Data


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    Mapping the Unmapped Readspace in Whole Genome Sequencing Data: The Blood Microbiome of 1,000 Families

    • Brianna Chrisman ;
    • Chloe He ;
    • Peter Washington ;
    • Kelley Paskov ;
    • Nate Stockham ;
    • Jae-Yoon Jung ;
    • Dennis Wall ;
    • Maya Varma

    Mapping the Unmapped Readspace in Whole Genome Sequencing Data: The Blood Microbiome of 1,000 Families


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    Impact of COVID-19 Pandemic on the Use of Telemedicine in Academic Medical Center in New York City

    • Wanting Cui ;
    • Joseph Finkelstein

    Impact of COVID-19 Pandemic on the Use of Telemedicine in Academic Medical Center in New York City


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    The Impact of Data Availability on Algorithmic Diabetes Type Detection using Electronic Health Records: The SEARCH for Diabetes in Youth Study

    • Franck Diaz-Garelli ;
    • Kristin M. Lenoir ;
    • Lynne E. Wagenknecht ;
    • Dana Dabelea ;
    • Tessa Crume ;
    • Catherine Pihoker ;
    • Eva Lustigova ;
    • Jasmin Divers ;
    • Brian Wells

    The Impact of Data Availability on Algorithmic Diabetes Type Detection using Electronic Health Records: The SEARCH for Diabetes in Youth Study


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    Performance of Automatic De-identification Across Different Note Types

    • Nicholas J. Dobbins ;
    • David Wayne ;
    • Kahyun Lee ;
    • Ozlem Uzuner ;
    • Meliha Yetisgen

    Performance of Automatic De-identification Across Different Note Types


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    Community-based Organizations as Partners in Addressing Racial Disparities in Infant Mortality: Establishing an Infrastructure for Routine Data Collection.

    • Naleef Fareed ;
    • Christine Swoboda ;
    • John Lawrence ;
    • Tyler Griesenbrock ;
    • Timothy R. Huerta

    Community-based Organizations as Partners in Addressing Racial Disparities in Infant Mortality: Establishing an Infrastructure for Routine Data Collection.


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    Clinical Impact of Satisfying Group Fairness Constraints in Revised Pooled Cohort Equations

    • Agata Foryciarz ;
    • Stephen Pfohl ;
    • Nigam Shah

    Clinical Impact of Satisfying Group Fairness Constraints in Revised Pooled Cohort Equations


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    Creating a national COVID-19 Limited Data Set: Regulatory and governance innovations within the National COVID Cohort Collaborative (N3C)

    • Melissa A. Haendel ;
    • Christine Suver ;
    • Julian Solway ;
    • John Wilbanks ;
    • Joni Rutter

    Creating a national COVID-19 Limited Data Set: Regulatory and governance innovations within the National COVID Cohort Collaborative (N3C)


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    FHIR Used to Expedite sIRB Workflow

    • William E. Hammond ;
    • James Topping ;
    • Kirubel Asfaw ;
    • Diane Rodden ;
    • Vivian L. West ;
    • Lawrence Muhlbaier ;
    • Eric Eisenstein

    FHIR Used to Expedite sIRB Workflow


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    ctGATE: A Clinical Trial Generalizability Assessment Toolbox

    • Zhe He ;
    • Arslan Erdenasileng ;
    • Xiang Tang ;
    • Yiqi Xu ;
    • Qian Li ;
    • Neil Charness ;
    • William Hogan ;
    • Thomas J. George ;
    • YI GUO ;
    • Jiang Bian

    ctGATE: A Clinical Trial Generalizability Assessment Toolbox


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    Privacy-Preserving Transitive Record Linkage

    • Andrew C. Hill ;
    • Michael G. Kahn ;
    • Shaun Grannis ;
    • Chan Voong ;
    • Lisa M. Schilling ;
    • Toan Ong

    Privacy-Preserving Transitive Record Linkage


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    System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT): A prospective randomized study of machine learning-directed clinical evaluations during outpatient cancer radiation and chemoradiation

    • Julian C. Hong ;
    • Neville C. Eclov ;
    • Nicole Dalal ;
    • Samantha M. Thomas ;
    • Sarah J. Stephens ;
    • Mary Malicki ;
    • Stacey Shield ;
    • Alyssa Cobb ;
    • Yvonne M. Mowery ;
    • Donna Niedzwiecki ;
    • Jessica D. Tenenbaum ;
    • Manisha Palta

    System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT): A prospective randomized study of machine learning-directed clinical evaluations during outpatient cancer radiation and chemoradiation


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    Improving social determinants of health screening: Examination of patients with limited English proficiency

    • Eun Ji Kim ;
    • Austin Fischer ;
    • Khadeja Kausar ;
    • Simita Mishra ;
    • Shaun Allicock ;
    • Sabina Zak ;
    • Michael Oppenheim ;
    • Joseph Conigliaro

    Improving social determinants of health screening: Examination of patients with limited English proficiency


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    A Landscape Survey of Planned SMART/HL7 Bulk FHIR Data Access API Implementations and Tools

    • James Jones ;
    • Dan Gottlieb ;
    • Joshua C. Mandel ;
    • Vladmir Ignatov ;
    • Alyssa Ellis ;
    • Kenneth Mandl

    A Landscape Survey of Planned SMART/HL7 Bulk FHIR Data Access API Implementations and Tools


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    Frequent Sampling of LCLs may Affect Genotyping Quality in Whole Genome Sequencing

    • Jae-Yoon Jung ;
    • Brianna Chrisman ;
    • Kelley Paskov ;
    • Nate Stockham ;
    • Peter Washington ;
    • Maya Varma ;
    • Min Woo Sun ;
    • Dennis Wall

    Frequent Sampling of LCLs may Affect Genotyping Quality in Whole Genome Sequencing


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    Identifying Biases in Clinical Decision Models Designed to Predict Need of Wraparound Services

    • Suranga N. Kasthurirathne ;
    • Joshua R. Vest ;
    • Shaun Grannis

    Identifying Biases in Clinical Decision Models Designed to Predict Need of Wraparound Services


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    Using Patient Counting Analytics to Enhance Data Quality in a Nationwide Clinical Research Network

    • Jeffrey G. Klann ;
    • Michelle Morris ;
    • Vivian Gainer ;
    • Michael Mendis ;
    • Elaina Sendro ;
    • Shawn N. Murphy

    Using Patient Counting Analytics to Enhance Data Quality in a Nationwide Clinical Research Network


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    Classification of Chest Injury Severity Using Clinical Documents

    • Sujay Kulshrestha ;
    • Dmitriy Dligach ;
    • Xin Su ;
    • Richard Gonzalez ;
    • Cara Joyce ;
    • Matthew M. Churpek ;
    • Majid Afshar

    Classification of Chest Injury Severity Using Clinical Documents


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    Deriving family history scores from electronic health record data for prediction of disease risk

    • Nicholas B. Larson ;
    • Yiqing Zhao ;
    • Jennifer St. Sauver ;
    • Véronique L. Roger ;
    • Hongfang Liu ;
    • Suzette J. Bielinski

    Deriving family history scores from electronic health record data for prediction of disease risk


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    Differentiating between Hemorrhage and Sepsis for Hypotensive Subjects Using Arterial Pressure Data

    • Xinyu Li ;
    • Ernest Pokropek ;
    • Michael R. Pinsky ;
    • Artur W. Dubrawski

    Differentiating between Hemorrhage and Sepsis for Hypotensive Subjects Using Arterial Pressure Data


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    Rapid Creation of a De-Identified COVID-19 Dataset for Clinical Research

    • Tanja Magoc ;
    • Yankuic Galvan ;
    • Richard Deason ;
    • Jennifer Fishe ;
    • Guillaume Labilloy ;
    • Gloria P. Lipori ;
    • Ian Tfirn ;
    • Christopher A. Harle

    Rapid Creation of a De-Identified COVID-19 Dataset for Clinical Research


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    Discovering Changes in the Neonatal Intensive Care Unit Structures Before and During the COVID-19 Pandemic: A Network Analysis

    • Hannah Mannering ;
    • Chao Yan ;
    • Mhd Wael Alrifai ;
    • Yang Gong ;
    • Daniel France ;
    • You Chen

    Discovering Changes in the Neonatal Intensive Care Unit Structures Before and During the COVID-19 Pandemic: A Network Analysis


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    An Integrative Network-based Analysis of Genetic Variants and Differential DNA Methylation in Brain Tissue of Multiple Sclerosis Patients

    • Astrid M. Manuel ;
    • Yulin Dai ;
    • Leorah Freeman ;
    • Peilin Jia ;
    • Zhongming Zhao

    An Integrative Network-based Analysis of Genetic Variants and Differential DNA Methylation in Brain Tissue of Multiple Sclerosis Patients


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    Drug-wide association studies of cancer using real-world health data

    • Rachel D. Melamed

    Drug-wide association studies of cancer using real-world health data


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    COVID-19 Diagnostic Testing Prediction Using Natural Language Processing to Power a Data-Driven Symptom Checker

    • Stephane M. Meystre ;
    • Paul M. Heider ;
    • Youngjun Kim

    COVID-19 Diagnostic Testing Prediction Using Natural Language Processing to Power a Data-Driven Symptom Checker


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    Applying the Extension for Community Health Care Outcomes (ECHO) Model for Cancer Prevention and Survivorship Care: Formative Evaluation of Program Design

    • Zheng Z. Milgrom ;
    • Tyler S. Severance ;
    • Caitlin M. Scanlon ;
    • Any'e T. Carson ;
    • Andrea Janota ;
    • Terry A. Vik ;
    • Joan M. Duwve ;
    • Brian E. Dixon ;
    • Eneida A. Mendonca

    Applying the Extension for Community Health Care Outcomes (ECHO) Model for Cancer Prevention and Survivorship Care: Formative Evaluation of Program Design


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    Bridging the Gaps between Evidence and Practice of Assessing Risks and Addressing Harms for Adults on Chronic Opioid Therapy

    • Meenakshi Mishra ;
    • Nicole G. Weiskopf

    Bridging the Gaps between Evidence and Practice of Assessing Risks and Addressing Harms for Adults on Chronic Opioid Therapy


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    Machine Learning Approaches for Predicting Diabetes-Related Long-Term Complications Using Real-World EHR Data

    • Abu S. M. Mosa ;
    • Chalermpon Thongmotai ;
    • Humayera Islam ;
    • KSM Tozammel Hossain ;
    • Vasanthi Mandhadi

    Machine Learning Approaches for Predicting Diabetes-Related Long-Term Complications Using Real-World EHR Data


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    Algorithmic Fairness in Risk Prediction Models for Patients with Opioid Use Disorder

    • Yoonyoung Park ;
    • Moninder Singh ;
    • Issa Sylla ;
    • Elaine Xiao ;
    • Jianying Hu ;
    • Amar K. Das

    Algorithmic Fairness in Risk Prediction Models for Patients with Opioid Use Disorder


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    Towards a Checklist for Data-driven Predictive Models

    • Panayiotis Petousis ;
    • Anders O. Garlid ;
    • William Hsu ;
    • Alex A. Bui

    Towards a Checklist for Data-driven Predictive Models


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    A knowledge graph strategy for integrating clinical and experimental COVID-19 data

    • Justin T. Reese ;
    • Deepak Unni ;
    • Tiffany J. Callahan ;
    • Luca Cappelletti ;
    • Vida Ravanmehr ;
    • Seth Carbon ;
    • Tommaso Fontana ;
    • Hannah Blau ;
    • Nicolas Matentzoglu ;
    • Nomi L. Harris ;
    • Monica C. Munoz-Torres ;
    • Melissa A. Haendel ;
    • Kent Shefchek ;
    • Peter N. Robinson ;
    • Marcin P. Joachimiak ;
    • Christopher J. Mungall

    A knowledge graph strategy for integrating clinical and experimental COVID-19 data


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    Mine the Gap: Utilizing Process Mining to Identify Actual Stroke Care Versus the Guidelines

    • Christian C. Rose ;
    • Morteza Noshad ;
    • Vincent Liu ;
    • Julia Adler-Milstein ;
    • Jonathan H. Chen

    Mine the Gap: Utilizing Process Mining to Identify Actual Stroke Care Versus the Guidelines


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    Temporal Phenotypic Progression in Neurofibromatosis Type 1

    • David J. Schlueter ;
    • Lisa Bastarache ;
    • Joshua C. Smith ;
    • Joshua C. Denny

    Temporal Phenotypic Progression in Neurofibromatosis Type 1


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    Interoperable and Computable Evidence-Based Medicine (EBM) on FHIR

    • Andrey Soares ;
    • Lisa M. Schilling ;
    • Brian Alper

    Interoperable and Computable Evidence-Based Medicine (EBM) on FHIR


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    Predictive Modeling Using Transcriptomic Signatures of COVID-19 and Other Infectious Diseases

    • Harshavardhan Srijay ;
    • Florica Constantine ;
    • Micah McClain ;
    • Chris Woods ;
    • Ricardo Henao

    Predictive Modeling Using Transcriptomic Signatures of COVID-19 and Other Infectious Diseases


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    Association of a history of pneumonia with mortality for Coronavirus Disease 2019 (COVID-2019)

    • Zachary H. Strasser ;
    • Hossein Estiri ;
    • Shawn N. Murphy

    Association of a history of pneumonia with mortality for Coronavirus Disease 2019 (COVID-2019)


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    Telemedicine use among geriatric outpatients during the COVID pandemic

    • Anita Szerszen ;
    • Yulia Kogan ;
    • Yuval Romm ;
    • Raman Vig ;
    • Simita Mishra ;
    • Edith Burns

    Telemedicine use among geriatric outpatients during the COVID pandemic


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    Deep Clinical Phenotyping and Network Analysis of Alzheimer Disease Patients Leveraging Electronic Medical Records Data

    • Alice Tang ;
    • Tomiko Oskotsky ;
    • Marina Sirota

    Deep Clinical Phenotyping and Network Analysis of Alzheimer Disease Patients Leveraging Electronic Medical Records Data


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    Outcomes of a Clinical Decision Support (CDS) Tool Informed by Implementation Science: A Cluster-Randomized Controlled Trial to Improve Heart Failure Prescribing

    • Katy E. Trinkley ;
    • Miranda E. Kroehl ;
    • Michael G. Kahn ;
    • Larry A. Allen ;
    • Tellen D. Bennett ;
    • Gary Hale ;
    • Heather Haugen ;
    • Simeon Heckman ;
    • David P. Kao ;
    • Daniel C. Matlock ;
    • Daniel C. Malone ;
    • Robert L. Page II ;
    • Krithika Suresh ;
    • CT Lin

    Outcomes of a Clinical Decision Support (CDS) Tool Informed by Implementation Science: A Cluster-Randomized Controlled Trial to Improve Heart Failure Prescribing


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    Maximum-flow formulation improves feature stability of machine learning models trained on high-dimensional whole genome datasets

    • Maya Varma ;
    • Kelley Paskov ;
    • Brianna Chrisman ;
    • Min Woo Sun ;
    • Jae-Yoon Jung ;
    • Nate Stockham ;
    • Peter Washington ;
    • Dennis Wall

    Maximum-flow formulation improves feature stability of machine learning models trained on high-dimensional whole genome datasets


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    A COVID-19 Application Ontology for the ACT Network

    • Shyam Visweswaran ;
    • Malarkodi J. Samayamuthu ;
    • Michelle Morris ;
    • Griffin M. Weber ;
    • Douglas MacFadden ;
    • Philip Trevvett ;
    • Jeffrey G. Klann ;
    • Vivian Gainer ;
    • Shawn N. Murphy

    A COVID-19 Application Ontology for the ACT Network


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    Transparency, Reproducibility, and Team Science in the National COVID Cohort Collaborative (N3C)

    • Anita Walden ;
    • Davera L. Gabriel ;
    • Julie McMurry ;
    • Andrew Williams ;
    • Vignesh Subbian ;
    • Kenneth Gersing ;
    • Nomi L. Harris ;
    • Christopher G. Chute ;
    • Melissa A. Haendel

    Transparency, Reproducibility, and Team Science in the National COVID Cohort Collaborative (N3C)


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    Communicating Results of Predictive Models to Patients

    • Colin G. Walsh ;
    • Mollie M. McKillop ;
    • Patricia Lee ;
    • Joyce Harris ;
    • Christopher L. Simpson ;
    • Laurie L. Novak

    Communicating Results of Predictive Models to Patients


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    An Evaluation of Clinical Natural Language Processing Systems to Extract Symptomatic Adverse Events from Patient-Authored Free-Text Narratives

    • Yue Wang ;
    • David Gotz ;
    • Ethan M. Basch ;
    • Arlene E. Chung

    An Evaluation of Clinical Natural Language Processing Systems to Extract Symptomatic Adverse Events from Patient-Authored Free-Text Narratives


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    Prediction of Blood-Brain Barrier Permeability to Drugs with FDA Adverse Event Report Derived Embeddings

    • YiFan Wu ;
    • Justin Mower ;
    • Devika Subramanian ;
    • Trevor Cohen

    Prediction of Blood-Brain Barrier Permeability to Drugs with FDA Adverse Event Report Derived Embeddings


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    Sepsis Prediction in the General Ward Setting

    • Sean C. Yu ;
    • Aditi Gupta ;
    • Kevin Betthauser ;
    • Marin H. Kollef ;
    • Albert M. Lai ;
    • Philip Payne ;
    • Andrew Michelson

    Sepsis Prediction in the General Ward Setting


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    Developing an ETL Tool for Converting PCORnet CDM into OMOP CDM

    • Yue Yu ;
    • Nansu Zong ;
    • Andrew Wen ;
    • Sijia Liu ;
    • Daniel Stone ;
    • Alanna M. Chamberlain ;
    • Davera L. Gabriel ;
    • Christopher G. Chute ;
    • Nilay Shah ;
    • Guoqian Jiang

    Developing an ETL Tool for Converting PCORnet CDM into OMOP CDM


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    Examining Patterns of Computerized Physician Order Entry in Emergency and Inpatient Heart Failure Management

    • Yiye Zhang ;
    • Joel Park ;
    • Yifan Liu ;
    • Richard Trepp ;
    • Jessica S. Ancker ;
    • Kelly M. Axsom ;
    • Jyotishman Pathak ;
    • Peter A. Steel

    Examining Patterns of Computerized Physician Order Entry in Emergency and Inpatient Heart Failure Management


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    Application of a Novel Sequential Pattern Mining Method to Study Longitudinal Social Determinants of Health through Young Adulthood: The CARDIA Study

    • Lindsay P. Zimmerman ;
    • Donald Lloyd-Jones ;
    • Kiarri Kershaw ;
    • David Rehkopf ;
    • Yuan Luo

    Application of a Novel Sequential Pattern Mining Method to Study Longitudinal Social Determinants of Health through Young Adulthood: The CARDIA Study


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    Predicting Primary Cancers Based on HL7 Fast Healthcare Interoperability Resources (FHIR) and Resource Description Framework (RDF)

    • Nansu Zong ;
    • Victoria Ngo ;
    • Daniel Stone ;
    • Andrew Wen ;
    • Yiqing Zhao ;
    • Yue Yu ;
    • Sijia Liu ;
    • Ming Huang ;
    • Chen Wang ;
    • Guoqian Jiang

    Predicting Primary Cancers Based on HL7 Fast Healthcare Interoperability Resources (FHIR) and Resource Description Framework (RDF)


    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