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  • Frontal
  • Podium Abstract

    Visualizing Brighter Outcomes for Children with Critical Illness

    • Barbara-Jo Achuff

    Visualizing Brighter Outcomes for Children with Critical Illness


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    GVViZ: A physician-friendly platform enabling interactive gene-disease data annotation, expression analysis, and visualization for translational research and precision medicine

    • Zeeshan Ahmed

    GVViZ: A physician-friendly platform enabling interactive gene-disease data annotation, expression analysis, and visualization for translational research and precision medicine


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    Using EHR data to predict symptom development for a cancer symptom-management mobile app

    • Anindita Bandyopadhyay ;
    • Alaa AlBashayreh ;
    • Nahid Zeinali ;
    • Heath Davis ;
    • Chris Ortman ;
    • Patrick Fan ;
    • Stephanie Gilbertson-White

    Using EHR data to predict symptom development for a cancer symptom-management mobile app


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    Auditing Learned Associations in Deep Learning Approaches to Extract Race and Ethnicity from Clinical Text

    • Oliver Bear Don't Walk ;
    • Adrienne Pichon ;
    • Harry Reyes ;
    • Tony Sun ;
    • Jaan Altosaar ;
    • Karthik Natarajan ;
    • Adler Perotte ;
    • Dina Demner-Fushman ;
    • Noemie Elhadad

    Auditing Learned Associations in Deep Learning Approaches to Extract Race and Ethnicity from Clinical Text


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    Pediatric COVID-19 Dashboard using National COVID Cohort Collaborative (N3C) Data

    • Tellen Bennett ;
    • Peter DeWitt ;
    • Blake Martin ;
    • Seth Russell ;
    • Meg Rebull ;
    • L. Nelson Sanchez-Pinto ;
    • Melissa Haendel ;
    • Richard Moffitt

    Pediatric COVID-19 Dashboard using National COVID Cohort Collaborative (N3C) Data


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    Leveraging Natural Language Processing to Extract Features of Colorectal Polyps from Pathology Reports for Epidemiologic Study

    • Ryzen Benson ;
    • Candace Winterton ;
    • Benjamin Krick ;
    • Mei Liu ;
    • Noor Abu-el-rub ;
    • Mike Conway ;
    • Guilherme Del Fiol ;
    • Andrew Gawron ;
    • Sheetal Hardikar ;
    • Maci Winn

    Leveraging Natural Language Processing to Extract Features of Colorectal Polyps from Pathology Reports for Epidemiologic Study


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    Reducing diagnostic delays in AHP using electronic health records, knowledge graphs and machine learning: a multicenter validation study

    • Balu Bhasuran ;
    • Katharina Schmolly ;
    • Yuvraaj Kapoor ;
    • Nanditha Jayakumar ;
    • Raymond Doan ;
    • Jigar Amin ;
    • Simon Beaven ;
    • Bruce Wang ;
    • Vivek Rudrapatna

    Reducing diagnostic delays in AHP using electronic health records, knowledge graphs and machine learning: a multicenter validation study


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    Using Machine Learning to Predict Hospital Disposition with Geriatric Emergency Department Innovation Intervention

    • Gabrielle Bunney ;
    • Steven Tran ;
    • Sae Han ;
    • Carol Gu ;
    • Hanyin Wang ;
    • Yuan Luo ;
    • Scott Dresden

    Using Machine Learning to Predict Hospital Disposition with Geriatric Emergency Department Innovation Intervention


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    Demographic Composition of Population Subgroups with High Feature Importance Characteristics in a Machine Learning Study

    • Elizabeth Campbell

    Demographic Composition of Population Subgroups with High Feature Importance Characteristics in a Machine Learning Study


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    Recruitment Registry Profiles Completed Automatically from Electronic Health Records with FHIR

    • Alex Cheng ;
    • Leah Dunkel ;
    • Delicia Burts ;
    • Kaysi Phillips ;
    • Erik Olson ;
    • Jason Tan ;
    • Bryce Embry ;
    • Loretta Byrne ;
    • Paul Harris

    Recruitment Registry Profiles Completed Automatically from Electronic Health Records with FHIR


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    Design and Engineering of Informatics Platforms for RWD-Intensive Decentralized Clinical Trials

    • Matthew Cowperthwaite

    Design and Engineering of Informatics Platforms for RWD-Intensive Decentralized Clinical Trials


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    The Iowa Heath Data Resource (IHDR): an Innovative Framework for Transforming the Clinical Health Data Ecosystem at the University of Iowa

    • Heath Davis ;
    • Donna Santillan ;
    • Jacob Michaelson ;
    • Boyd Knosp

    The Iowa Heath Data Resource (IHDR): an Innovative Framework for Transforming the Clinical Health Data Ecosystem at the University of Iowa


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    Open-Source, Reproducible, and Inexpensive Data Challenge Infrastructure

    • Peter DeWitt ;
    • Meg Rebull ;
    • Tellen Bennett

    Open-Source, Reproducible, and Inexpensive Data Challenge Infrastructure


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    Monitoring machine learning (ML)-based prediction algorithms in the presence of confounding medical interventions

    • Jean Feng ;
    • Alexej Gossmann ;
    • Gene Pennello ;
    • Nicholas Petrick ;
    • Berkman Sahiner ;
    • Romain Pirracchio

    Monitoring machine learning (ML)-based prediction algorithms in the presence of confounding medical interventions


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    Utility of Emergency Dept Testing to Predict Local COVID Surges

    • Daniel Fort ;
    • Lisa Fort

    Utility of Emergency Dept Testing to Predict Local COVID Surges


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    A Comprehensive Benchmark For COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care

    • Junyi Gao ;
    • Yinghao Zhu ;
    • Wenqing Wang ;
    • Yasha Wang ;
    • Wen Tang ;
    • Liantao Ma

    A Comprehensive Benchmark For COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care


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    Clinical Natural Language Processing Benchmark for Augmented Intelligence in Healthcare

    • Yanjun Gao ;
    • Tim Miller ;
    • Brihat Sharma ;
    • Majid Afshar ;
    • John Caskey ;
    • Dmitriy Dligach ;
    • Matthew Churpek

    Clinical Natural Language Processing Benchmark for Augmented Intelligence in Healthcare


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    Using systematic study-specific data quality assessment to optimize a multi-institutional study of children with chronic kidney disease

    • Amy Goodwin Davies ;
    • Sandra Ilunga ;
    • Samuel Boss ;
    • Michelle Denburg ;
    • Kimberley Dickinson ;
    • Caroline Gluck ;
    • Harold Lehmann ;
    • Vitaly Lorman ;
    • Jordan Musante ;
    • Ryan Webb ;
    • Charles Bailey ;
    • Hanieh Razzaghi

    Using systematic study-specific data quality assessment to optimize a multi-institutional study of children with chronic kidney disease


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    Selecting EHR-driven Recruitment Strategies: A Guide and Case Example

    • Randall Grout ;
    • Sarah Nelson ;
    • Natalie Dilts ;
    • Paul Harris ;
    • Peter Embi

    Selecting EHR-driven Recruitment Strategies: A Guide and Case Example


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    iSMILE: AI-Based Individualized Social Risk Management in Type 2 Diabetes Health Care

    • Serena Jingchuan Guo ;
    • Elizabeth Shenkman ;
    • William Troy Donahoo ;
    • Yonghui Wu ;
    • Jie Xu ;
    • Yi Guo ;
    • Jiang Bian ;
    • Lori Bilello

    iSMILE: AI-Based Individualized Social Risk Management in Type 2 Diabetes Health Care


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    Semantic Patient Clustering in the National COVID Cohort Collaborative (N3C)

    • Melissa Haendel ;
    • Justin Reese ;
    • Christopher Chute ;
    • Richard Moffitt ;
    • Peter Robinson ;
    • Emily Pfaff

    Semantic Patient Clustering in the National COVID Cohort Collaborative (N3C)


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    Reducing Greenhouse Gas Emissions in Pediatric Anesthesia Care Using Data Science

    • Elizabeth Hansen

    Reducing Greenhouse Gas Emissions in Pediatric Anesthesia Care Using Data Science


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    Towards Semi-Automated Construction of Laboratory Test Result Comprehension Knowledgebase for a Patient-Facing Application

    • Zhe He ;
    • Arslan Erdengasileng ;
    • Shubo Tian ;
    • Mia Liza A. Lustria

    Towards Semi-Automated Construction of Laboratory Test Result Comprehension Knowledgebase for a Patient-Facing Application


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    Towards Real-time Visual Exploration of Network Meta-analysis Results

    • Huan He ;
    • Irbaz Riaz ;
    • Syed Arsalan Ahmed Naqvi ;
    • Rabbia Siddiqi ;
    • Noureen Asghar ;
    • Mahnoor Islam ;
    • M. Hassan Murad ;
    • Hongfang Liu

    Towards Real-time Visual Exploration of Network Meta-analysis Results


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    Variation in Family Physicians’ Experiences Across Different Electronic Health Record Platforms

    • Nathaniel Hendrix ;
    • Andrew Bazemore ;
    • Lisa Rotenstein ;
    • A J Holmgren ;
    • Alexander Krist ;
    • Robert Phillips

    Variation in Family Physicians’ Experiences Across Different Electronic Health Record Platforms


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    A Shared Task for Clinical Trial Search: Overview of the TREC Clinical Trials Track

    • Kirk Roberts ;
    • William Hersh ;
    • Dina Demner-Fushman ;
    • Ellen Voorhees ;
    • Kate Fultz Hollis ;
    • Steven Bedrick;

    A Shared Task for Clinical Trial Search: Overview of the TREC Clinical Trials Track


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    Advancing Maturity Modeling for Precision Oncology

    • Ariella Hoffman-Peterson ;
    • Megh Marathe ;
    • Kashmira Sawant ;
    • Reema Hamasha ;
    • April Kang ;
    • Mark S. Ackerman ;
    • Allen Flynn ;
    • Jodyn Platt

    Advancing Maturity Modeling for Precision Oncology


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    Initial Development and External Validation of a Biodigital Rapid Alert to Identify Neuromorbidity A-I Bundle (BRAIN AI) Among Critically Ill Children

    • Christopher Horvat ;
    • Alicia Au ;
    • Harry Hochheiser ;
    • Tanupat Boonchalermvichien ;
    • Kevin Bui ;
    • Neil Munjal ;
    • Mark Wainwright ;
    • Qingyang Li ;
    • Robert Clark

    Initial Development and External Validation of a Biodigital Rapid Alert to Identify Neuromorbidity A-I Bundle (BRAIN AI) Among Critically Ill Children


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    Leveraging Electronic Medical Record Data for Predictive Modeling of Alzheimer’s Disease and Related Dementia

    • Vienna Huang ;
    • Alice Tang ;
    • Tomiko Oskotsky ;
    • Kate Rankin ;
    • Marina Sirota

    Leveraging Electronic Medical Record Data for Predictive Modeling of Alzheimer’s Disease and Related Dementia


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    Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: a multinational cohort study

    • Meghan Hutch ;
    • Jiyeon Son ;
    • Trang Le ;
    • Chuan Hong ;
    • Xuan Wang ;
    • Zahra Shakeri Hossein Abad ;
    • Shyam Visweswaran ;
    • Yuan Luo ;
    • Tianxi Cai ;
    • Zongqi Xia

    Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: a multinational cohort study


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    Accelerating Detection of Drug Effect Signals Associated with Adverse Pregnancy Outcomes Using Propensity Score Matching at Scale

    • Yeon Mi Hwang

    Accelerating Detection of Drug Effect Signals Associated with Adverse Pregnancy Outcomes Using Propensity Score Matching at Scale


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    Progression of Prevalent Multimorbidity Patterns: A Cross-sectional Study

    • Bianca Jackson ;
    • Manal Alshakhs ;
    • Cindy Lemon ;
    • Trish Goedecke ;
    • Abel Belachew ;
    • Michele Stoutenburg ;
    • Jim Bailey ;
    • Rebecca Reynolds ;
    • Charisse Madlock-Brown

    Progression of Prevalent Multimorbidity Patterns: A Cross-sectional Study


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    Lymphoblastoid Cell Line Samples in Next Generation Sequencing may have Calling Quality Changes over Time

    • Jae-Yoon Jung

    Lymphoblastoid Cell Line Samples in Next Generation Sequencing may have Calling Quality Changes over Time


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    Ultrasound Radiomics for Type 2 Diabetes

    • Sameed Khan ;
    • Chad Klochko ;
    • Sydney Rubin ;
    • Lauren Wolf ;
    • Adam Alessio ;
    • Steven Soliman

    Ultrasound Radiomics for Type 2 Diabetes


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    Maturity in Enterprise Data Warehouses for Research Operations: Analysis of a Pilot Study

    • Boyd Knosp ;
    • David Dorr ;
    • Thomas Campion

    Maturity in Enterprise Data Warehouses for Research Operations: Analysis of a Pilot Study


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    Development of an AI-based screening algorithm for Head and Neck Cancers in Low Resourced Healthcare Systems

    • Sean Shao Wei Lam ;
    • Yunyun Cao ;
    • Boon Yew Ang ;
    • Samuel Altonji ;
    • Walter Lee ;
    • Hiang Khoon Tan

    Development of an AI-based screening algorithm for Head and Neck Cancers in Low Resourced Healthcare Systems


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    Charlson Comorbidity in OMOP: An N3C RECOVER Study

    • Peter Leese

    Charlson Comorbidity in OMOP: An N3C RECOVER Study


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    Investigating the Impact of Speech Recognition Errors on Subsequent Dementia Classification

    • Changye Li ;
    • Weizhe Xu ;
    • Trevor Cohen ;
    • Serguei Pakhomov

    Investigating the Impact of Speech Recognition Errors on Subsequent Dementia Classification


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    Real-time Machine Learning Models for Predicting Hospitalization Admissions for Individuals with Exposure to COVID-19: Model Design, Validation, and Clinical Implementation Framework

    • Tianchu Lyu ;
    • Chen Liang ;
    • Bankole Olatosi ;
    • Sharon Weissman ;
    • Jiajia Zhang ;
    • Xueying Yang ;
    • Neset Hikmet ;
    • Xiaoming Li

    Real-time Machine Learning Models for Predicting Hospitalization Admissions for Individuals with Exposure to COVID-19: Model Design, Validation, and Clinical Implementation Framework


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    Racial, Ethnic and Socioeconomic Disparities in Acute Care Utilization among People with Type 2 Diabetes: An Epic Cosmos Analysis

    • Feifan Liu ;
    • Ben Gerber ;
    • Huanmei Wu ;
    • Omar Martinez ;
    • Bo Wang ;
    • Eric Alper

    Racial, Ethnic and Socioeconomic Disparities in Acute Care Utilization among People with Type 2 Diabetes: An Epic Cosmos Analysis


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    Developing and Evaluating of a Machine-learning Opioid Overdose Prediction and Risk Stratification e-Tool (DEMONSTRATE)

    • Weihsuan Lo-Ciganic ;
    • Md Mahmudul Hasan ;
    • Pei-Lin Huang ;
    • James Huang ;
    • Khoa Nguyen ;
    • Debbie Wilson ;
    • Christopher Harle ;
    • Jiang Bian ;
    • Yonghui Wu ;
    • Jeremy Weiss ;
    • Adam Gordon ;
    • Jerry Cochran ;
    • Julie Dilulio ;
    • Laura Militello ;
    • Stephanie Staras ;
    • Scott Vouri ;
    • Jeffrey Budd ;
    • Senthil Meenrajan ;
    • Frank Orlando ;
    • John Pennington ;
    • Siegfried Schmidt ;
    • Motomori Lewis ;
    • Courtney Kuza ;
    • Walid Gellad

    Developing and Evaluating of a Machine-learning Opioid Overdose Prediction and Risk Stratification e-Tool (DEMONSTRATE)


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    Characterizing the structure of physician EHR work using action embeddings

    • Sunny Lou ;
    • Hanyang Liu ;
    • Derek Harford ;
    • Chenyang Lu ;
    • Thomas Kannampallil

    Characterizing the structure of physician EHR work using action embeddings


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    Towards a Health Knowledge Graph: Integration of External Knowledge into Pre-trained Language Models Capturing Physician Reasoning from EHR

    • Qiuhao Lu ;
    • Andrew Wen ;
    • Thien Nguyen ;
    • Hongfang Liu

    Towards a Health Knowledge Graph: Integration of External Knowledge into Pre-trained Language Models Capturing Physician Reasoning from EHR


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    A Human-in-the-Loop based Bayesian Network Approach to Improve the Accuracy and Explainability of Local Control Prediction for Hepatocellular Cancer Patients Treated Using Stereotactic Body Radiotherapy

    • Yi Luo ;
    • Kyle Cuneo ;
    • Theodore Lawrence ;
    • Martha Matuszak ;
    • Laura Dawson ;
    • Dipesh Niraula ;
    • Randall Ten Haken ;
    • Issam El Naqa

    A Human-in-the-Loop based Bayesian Network Approach to Improve the Accuracy and Explainability of Local Control Prediction for Hepatocellular Cancer Patients Treated Using Stereotactic Body Radiotherapy


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    Enhancing an Enterprise Data Warehouse for Research with Natural Language Processing

    • Tanja Magoc ;
    • Russell Everson ;
    • Scott Sortino ;
    • Jennifer Myles ;
    • Gloria Lipori ;
    • Christopher Harle

    Enhancing an Enterprise Data Warehouse for Research with Natural Language Processing


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    Advancing Artificial Intelligence and Machine Learning Through Improved Public Competitions

    • Ezekiel Maier ;
    • Kellin Murphy

    Advancing Artificial Intelligence and Machine Learning Through Improved Public Competitions


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    Enabling Comprehensive Meta-Analysis of Multi-Cohort Metabolomic Studies with COMETS Analytics and RaMP-DB

    • Bill Wheeler ;
    • Ewy Mathe

    Enabling Comprehensive Meta-Analysis of Multi-Cohort Metabolomic Studies with COMETS Analytics and RaMP-DB


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    Generalizable Models to Predict Risk of HIV Infection from Electronic Health Records

    • Sarah May ;
    • Thomas Giordano ;
    • Assaf Gottlieb

    Generalizable Models to Predict Risk of HIV Infection from Electronic Health Records


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    Contextual Information Discrepancy in Clinical Documents

    • Sungrim Moon ;
    • Kurt Miller ;
    • Hongfang Liu

    Contextual Information Discrepancy in Clinical Documents


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    Interpretable Relational Classification of Adverse Drug Effects with Permutation-encoded Predications

    • Justin Mower ;
    • Trevor Cohen ;
    • Devika Subramanian

    Interpretable Relational Classification of Adverse Drug Effects with Permutation-encoded Predications


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    Thick Data Analytics for Iterative Model Development

    • Minh Nguyen ;
    • Ben Marafino ;
    • Tiffany Eulalio ;
    • Christian Rose ;
    • Jonathan Chen ;
    • Michael Baiocchi

    Thick Data Analytics for Iterative Model Development


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    Predicting emerging SARS-Cov-2 Variants of Concern through a One-Class dynamic anomaly detection algorithm

    • Giovanna Nicora ;
    • Marco Salemi ;
    • Mattia Prosperi ;
    • Simone Marini ;
    • Riccardo Bellazzi

    Predicting emerging SARS-Cov-2 Variants of Concern through a One-Class dynamic anomaly detection algorithm


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    Pathway-based survival analysis in bladder cancer patients treated with immunotherapy

    • Alyssa Obermayer ;
    • Sam Coleman ;
    • Aik-choon Tan ;
    • Steven Eschrich ;
    • G Daniel Grass ;
    • Timothy Shaw

    Pathway-based survival analysis in bladder cancer patients treated with immunotherapy


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    Early Prediction of Primary Graft Dysfunction in Lung Transplant Recipients

    • Inez Oh ;
    • Ramsey Hachem ;
    • Aditi Gupta ;
    • Andrew Michelson ;
    • Philip Payne

    Early Prediction of Primary Graft Dysfunction in Lung Transplant Recipients


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    Design and Implementation of a Cloud-Based Platform Supporting Respondent-Driven Sampling for Identifying and Contacting Individuals at Risk of COVID-19 Infection

    • Yuhan McGee ;
    • Andrew Olson ;
    • David Burdick ;
    • Dana Pasquale ;
    • Whitney Welsh ;
    • Dianne Oliver-Clapsaddle ;
    • Erich Huang

    Design and Implementation of a Cloud-Based Platform Supporting Respondent-Driven Sampling for Identifying and Contacting Individuals at Risk of COVID-19 Infection


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    Large-Scale Analysis with Deep Learning for the Early Diagnosis of Patients at Risk for Primary Immunodeficiencies

    • Georgios Papanastasiou ;
    • Guang Yang ;
    • Dimitrios Fotiadis ;
    • Luba Sobolevsky ;
    • Gurinder Sidhu ;
    • Donna Palumbo

    Large-Scale Analysis with Deep Learning for the Early Diagnosis of Patients at Risk for Primary Immunodeficiencies


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    Supporting Personalized Pregnancy Care Using Artificial Intelligence: Identifying Online Health Education Materials to Prevent Postpartum Depression Using Natural Language Processing

    • Braja Patra ;
    • Praneet Kasi Reddy Jagadeesh Kumar ;
    • Ziling Cheng ;
    • Abdullah Altammami ;
    • Yiyang Liu ;
    • Corie Meyerowich ;
    • Victoria Robbins ;
    • Jyotishman Pathak ;
    • Yiye Zhang

    Supporting Personalized Pregnancy Care Using Artificial Intelligence: Identifying Online Health Education Materials to Prevent Postpartum Depression Using Natural Language Processing


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    COVID-19 Bacterial Co-infection is a Major Risk Factor for In-Hospital Mortality, ICU Admission, and Mechanical Ventilation

    • Michael Patton ;
    • Daniel Fort ;
    • Maha Farhat ;
    • Carlos Orihuela ;
    • Robert Richter ;
    • Christopher Kevil ;
    • Nathaniel Erdmann ;
    • Mohammad Bhuiyan ;
    • Charitharth Lal ;
    • Johnathan Koff ;
    • Matthew Might ;
    • Anuj Gaggar ;
    • Amit Gaggar ;
    • Kevn Harrod ;
    • Paari Dominic

    COVID-19 Bacterial Co-infection is a Major Risk Factor for In-Hospital Mortality, ICU Admission, and Mechanical Ventilation


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    Toward a Reproducible Implementation Framework for Fit-for-Use Data Quality Assessment in Large-Scale Clinical Research

    • Hanieh Razzaghi ;
    • Michael Kahn ;
    • Harold Lehmann ;
    • Jennifer Sciolla ;
    • Nicole Marchesani ;
    • Kristin Lyman ;
    • Jane Greenberg ;
    • Charles Bailey

    Toward a Reproducible Implementation Framework for Fit-for-Use Data Quality Assessment in Large-Scale Clinical Research


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    Catalyzing the Transition to Digital Medicine: Development of the Digital medicine Outcomes Value Set (DOVeS) Ontology and the Accelerated Digital Clinical Ecosystem (ADviCE)

    • Benjamin Rosner ;
    • Matthew Horridge ;
    • Andrew Auerbach

    Catalyzing the Transition to Digital Medicine: Development of the Digital medicine Outcomes Value Set (DOVeS) Ontology and the Accelerated Digital Clinical Ecosystem (ADviCE)


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    XGBoost Survival Analysis for Drug Repurposing in Monoclonal Gammopathy of Undetermined Significance

    • Alexander Ryu ;
    • Shaji Kumar ;
    • Angela Dispenzieri ;
    • Robert Kyle ;
    • S. Vincent Rajkumar ;
    • Ray Qian ;
    • shant ayanian ;
    • Sean Legler ;
    • Thomas Kingsley

    XGBoost Survival Analysis for Drug Repurposing in Monoclonal Gammopathy of Undetermined Significance


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    Identifying related diseases within an ontology-enriched disease network

    • Jaleal Sanjak

    Identifying related diseases within an ontology-enriched disease network


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    CDS Hooks for CDC Opioid Guidelines: Report of a Pilot Study

    • Andrey Soares ;
    • Brad Morse ;
    • Ashley Hansen ;
    • Kent Olander ;
    • Jason Hoppe ;
    • Lisa Schilling

    CDS Hooks for CDC Opioid Guidelines: Report of a Pilot Study


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    A Methodology for Predicting Tissue-specific Metabolic and Inflammatory Receptor Functions Applied to Subcutaneous and Visceral Adipose

    • Gur Arye Yehuda ;
    • Judith Somekh

    A Methodology for Predicting Tissue-specific Metabolic and Inflammatory Receptor Functions Applied to Subcutaneous and Visceral Adipose


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    Characterization of the OMOP and FHIR data extracts

    • Spencer Soohoo ;
    • Rohit Mohan ;
    • Renier Estiandan ;
    • Ryan Hoffman ;
    • Shao-Chi Huang ;
    • Brian Tep ;
    • David Kreda ;
    • Dan Gottlieb ;
    • Aaron Boussina ;
    • Paul Kingsbury ;
    • Lisa Schilling ;
    • Andrey Soares

    Characterization of the OMOP and FHIR data extracts


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    The Substance Misuse Data Commons: A data platform with privacy-preserving linkage between a health system and outside state data agencies

    • Claire Sun ;
    • Madeline Oguss ;
    • Thomas P. Callaci ;
    • Tim Gruenloh ;
    • Brian Patterson ;
    • Megan Gussick ;
    • Elizabeth Salisbury-Afshar ;
    • Matthew M Churpek ;
    • Ryan Westergaard ;
    • Anoop Mayampurath ;
    • Majid Afshar

    The Substance Misuse Data Commons: A data platform with privacy-preserving linkage between a health system and outside state data agencies


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    Using iSyntax Whole Slide Image Format in Research/ML

    • Alexandr Virodov ;
    • Cody Bumgardner

    Using iSyntax Whole Slide Image Format in Research/ML


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    N3C Data Enhancements: A Path for Expanding Common Data Models

    • Kellie Walters ;
    • Marshall Clark ;
    • Sofia Dard ;
    • Stephanie Hong ;
    • Elizabeth Kelly ;
    • Adam Lee ;
    • Robert Miller ;
    • Kristin Kostka ;
    • Michele Morris ;
    • Matvey Palchuk ;
    • Emily Pfaff

    N3C Data Enhancements: A Path for Expanding Common Data Models


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    Open-Source Family History Extraction and Normalization Resources

    • Liwei Wang ;
    • Huan He ;
    • Sungrim Moon ;
    • Andrew Wen ;
    • Kevin Peterson ;
    • Hongfang Liu

    Open-Source Family History Extraction and Normalization Resources


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    Identifying Patients in Electronic Health Records with Complete Data

    • Griffin Weber

    Identifying Patients in Electronic Health Records with Complete Data


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    Enhancing Clinical Information Retrieval Queries through Incorporation of Natural Language Processing Artifacts

    • Andrew Wen ;
    • Sunyang Fu ;
    • Liwei Wang ;
    • Sijia Liu ;
    • Kurt Miller ;
    • Yanshan Wang ;
    • Hongfang Liu

    Enhancing Clinical Information Retrieval Queries through Incorporation of Natural Language Processing Artifacts


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    A Cohort Discovery and Exploration System for Clinical Trial Accrual

    • Andrew Wen ;
    • Huan He ;
    • Sunyang Fu ;
    • Sijia Liu ;
    • Kurt Miller ;
    • Robert Gehrke ;
    • Carmen Vodislav ;
    • Michael Lin ;
    • Kathryn Cook ;
    • David Strauss ;
    • Dania Helgeson ;
    • Thomas Kingsley ;
    • Alexander Ryu ;
    • Hongfang Liu

    A Cohort Discovery and Exploration System for Clinical Trial Accrual


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    APLUS: A Python Library for Usefulness Simulations of Machine Learning Models in Healthcare

    • Michael Wornow ;
    • Elsie Ross ;
    • Alison Callahan ;
    • Nigam Shah

    APLUS: A Python Library for Usefulness Simulations of Machine Learning Models in Healthcare


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    Identification of the Most Determinant Demographic and Biological Factors for the Phenotypic and Chronological Age Difference Prediction in the NHANES Cohort

    • Jia Xu ;
    • Yuezhi Xie ;
    • Yuqin Zhang ;
    • Daniele Pala ;
    • Li Shen

    Identification of the Most Determinant Demographic and Biological Factors for the Phenotypic and Chronological Age Difference Prediction in the NHANES Cohort


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    Task-agnostic Linguistic Detection of Alzheimer’s Disease Dementia with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS)

    • Weizhe Xu ;
    • Changye Li ;
    • Serguei Pakhomov ;
    • Trevor Cohen

    Task-agnostic Linguistic Detection of Alzheimer’s Disease Dementia with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS)


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    Supplementing Data Completeness in the All of Us Research Program Using Record Linkage

    • Yuyang Yang ;
    • Abel Kho

    Supplementing Data Completeness in the All of Us Research Program Using Record Linkage


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    Visualization of COVID-19 vaccination hesitancy and sentiment using social media data and natural language processing

    • Jiancheng Ye

    Visualization of COVID-19 vaccination hesitancy and sentiment using social media data and natural language processing


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    Informatics-Driven Behavior Change Interventions to Enhance Diagnostic Imaging Site-of-Care Selection for Commercially-Insured Members

    • Amanda Zaleski ;
    • Vincent Fleury ;
    • Jason Guoyong Zeng ;
    • Nishaat Farheen ;
    • Elise Kokonas ;
    • Shobeir Seddington ;
    • Shruti Choudhary ;
    • Ryan Berns ;
    • Dorothea Verbrugge ;
    • M. Catharine Moffitt ;
    • Kelly Craig ;
    • Daniel Reif

    Informatics-Driven Behavior Change Interventions to Enhance Diagnostic Imaging Site-of-Care Selection for Commercially-Insured Members


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    AI-based filter of drug-induced liver injury publications with natural language processing

    • Xianghao Zhan ;
    • Fanjin Wang ;
    • Olivier Gevaert

    AI-based filter of drug-induced liver injury publications with natural language processing


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