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    DeepCompete: A deep learning approach to competing risks in continuous-time domain

    • Aastha $lastName ;
    • Pengyu Huang ;
    • Yan Liu

    DeepCompete: A deep learning approach to competing risks in continuous-time domain


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    To Text or Not to Text? That is the Question

    • Gregory L. Alexander ;
    • Riley Harrell ;
    • Sue Shumate ;
    • Mason Rothert ;
    • Amy Vogelsmeier ;
    • Lori L. Popejoy ;
    • Marilyn Rantz

    To Text or Not to Text? That is the Question


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    Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis

    • Fatemeh Amrollahi ;
    • Supreeth Shashikumar ;
    • Fereshteh Razmi ;
    • Shamim Nemati

    Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis


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    Towards motor evaluation of Parkinson’s Disease Patients using wearable inertial sensors

    • Vibha Anand ;
    • Erhan Bilal ;
    • Bryan Ho

    Towards motor evaluation of Parkinson’s Disease Patients using wearable inertial sensors


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    The Age Limit Does Not Exist: A Pilot Usability Assessment of a SMS-Messaging and Smartwatch-Based Intervention for Older Adults with Depression

    • Natalie C. Benda ;
    • George Alexopoulos ;
    • Patricia Marino ;
    • Jo Anne Sirey ;
    • Dimitris Kiosses ;
    • Jessica S. Ancker

    The Age Limit Does Not Exist: A Pilot Usability Assessment of a SMS-Messaging and Smartwatch-Based Intervention for Older Adults with Depression


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    A highly accurate method for quantifying LVNC cardiomyophaty

    • Gregorio Bernabé ;
    • José D. Casanova ;
    • Guillem Casas ;
    • Josefa González-Carrillo

    A highly accurate method for quantifying LVNC cardiomyophaty


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    Using Natural Language Processing and Machine Learning to Identify Hospitalized Patients with Opioid Use Disorder

    • Suzanne V. Blackley ;
    • Erin MacPhaul ;
    • Bianca Martin ;
    • Wenyu Song ;
    • Joji Suzuki ;
    • Li Zhou

    Using Natural Language Processing and Machine Learning to Identify Hospitalized Patients with Opioid Use Disorder


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    Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model

    • Anusha Bompelli ;
    • Jianfu Li ;
    • Yiqi Xu ;
    • Nan Wang ;
    • Yanshan Wang ;
    • Terrence J. Adam ;
    • Zhe He ;
    • Rui Zhang

    Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model


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    Knowledge Extraction and Prediction from Behavior Science Randomized Controlled Trials: A Case Study in Smoking Cessation

    • Francesca Bonin ;
    • Martin Gleize ;
    • Yufang Hou ;
    • Debasis Ganguly ;
    • Ailbhe Finnerty ;
    • Charles Jochim ;
    • Alessandra Pascale ;
    • Pierpaolo Tommasi ;
    • Pol Mac Aonghusa ;
    • Susan Michie

    Knowledge Extraction and Prediction from Behavior Science Randomized Controlled Trials: A Case Study in Smoking Cessation


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    Mental Health Comorbidity Analysis in Pediatric Patients with Autism Spectrum Disorder Using Rhode Island Medical Claims Data

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

    Mental Health Comorbidity Analysis in Pediatric Patients with Autism Spectrum Disorder Using Rhode Island Medical Claims Data


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    Selection of Clinical Text Features for Classifying Suicide Attempts

    • Ryan S. Buckland ;
    • Joseph W. Hogan ;
    • Elizabeth S. Chen

    Selection of Clinical Text Features for Classifying Suicide Attempts


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    Impact of IMPACT: Longitudinal Analysis of an Integrated Participant Scheduling System in a Clinical Research Setting

    • Alex Butler ;
    • Junghwan Lee ;
    • Yat S. So ;
    • Linda Busacca ;
    • Karen Marder ;
    • Henry Ginsberg ;
    • Dianne Frederick ;
    • Ismael Castaneda ;
    • Elizabeth Guerrido ;
    • Chunhua Weng

    Impact of IMPACT: Longitudinal Analysis of an Integrated Participant Scheduling System in a Clinical Research Setting


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    Application of Machine Learning to Predict Patient No-Shows in an Academic Pediatric Ophthalmology Clinic

    • Jimmy Chen ;
    • Isaac Goldstein ;
    • Wei-Chun Lin ;
    • Michael F. Chiang ;
    • Michelle R. Hribar

    Application of Machine Learning to Predict Patient No-Shows in an Academic Pediatric Ophthalmology Clinic


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    Bringing Cultural Competency to the EHR: Lessons Learned Providing Respectful, Quality Care to the LGBTQ Community

    • Aliasgar Z. Chittalia ;
    • Heather L. Marney ;
    • Spencer Tavares ;
    • Leyla B. Warsame ;
    • Arthur W. Breese ;
    • Dawn L. Fisher ;
    • Michael E. Stoppie ;
    • D Coen ;
    • Kim Zikowski ;
    • Andrea W. Shapiro ;
    • David Vawdrey

    Bringing Cultural Competency to the EHR: Lessons Learned Providing Respectful, Quality Care to the LGBTQ Community


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    Capturing Clinician Reasoning in Electronic Health Records: An Exploratory Study of Under-Treated Essential Hypertension

    • James J. Cimino ;
    • Heather D. Martin ;
    • Tiago K. Colicchio

    Capturing Clinician Reasoning in Electronic Health Records: An Exploratory Study of Under-Treated Essential Hypertension


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    The anatomy of clinical documentation: an assessment and classification of narrative note sections format and content

    • Tiago K. Colicchio ;
    • Pavithra I. Dissanayake ;
    • James J. Cimino

    The anatomy of clinical documentation: an assessment and classification of narrative note sections format and content


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    Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity

    • Aaron S. Coyner ;
    • Jimmy Chen ;
    • John P. Campbell ;
    • Susan Ostmo ;
    • Praveer Singh ;
    • Jayashree Kalpathy-Cramer ;
    • Michael F. Chiang

    Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity


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    RadLex Normalization in Radiology Reports

    • Surabhi Datta ;
    • Jordan Godfrey-Stovall ;
    • Kirk Roberts

    RadLex Normalization in Radiology Reports


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    Privacy-Preserving Methods for Vertically Partitioned Incomplete Data

    • Yi Deng ;
    • Xiaoqian Jiang ;
    • Qi Long

    Privacy-Preserving Methods for Vertically Partitioned Incomplete Data


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    Transforming primary medical research knowledge into clinical decision support rules

    • Paul R. Dexter ;
    • Randall W. Grout ;
    • Peter J. Embi

    Transforming primary medical research knowledge into clinical decision support rules


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    Finding Causal Mechanistic Drug-Drug Interactions from Observational Data

    • Sanjoy Dey ;
    • Ping Zhang ;
    • Mohamed Ghalwash ;
    • Chandramouli Maduri ;
    • Daby Sow ;
    • Zachary Shahn

    Finding Causal Mechanistic Drug-Drug Interactions from Observational Data


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    Catch Me if You Can: Acute Events Hidden in Structured Chronic Disease Diagnosis Descriptions Show Detectable Recording Patterns in EHR

    • Franck Diaz-Garelli ;
    • Kristin M. Lenoir ;
    • Brian Wells

    Catch Me if You Can: Acute Events Hidden in Structured Chronic Disease Diagnosis Descriptions Show Detectable Recording Patterns in EHR


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    Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection

    • Xiruo Ding ;
    • Trevor A. Cohen

    Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection


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    Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer’s Disease and Related Dementia (ADRD)

    • Rui Duan ;
    • Zhaoyi Chen ;
    • Jiayi Tong ;
    • Chongliang Luo ;
    • Tianchen Lyu ;
    • Cui Tao ;
    • Demetrius Maraganore ;
    • Jiang Bian ;
    • Yong Chen

    Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer’s Disease and Related Dementia (ADRD)


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    We’re Lost, But We are Making Good Time: Navigating Complex Pathways in a Patient-Order Management Task

    • Benjamin J. Duncan ;
    • Alexandra Kassis ;
    • David R. Kaufman ;
    • Adela Grando ;
    • Lu Zheng ;
    • Richard Helmers ;
    • Karl Poterack ;
    • Tim Miksch ;
    • Bradley N. Doebbeling

    We’re Lost, But We are Making Good Time: Navigating Complex Pathways in a Patient-Order Management Task


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    Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures

    • Aaron S. Eisman ;
    • Nishant R. Shah ;
    • Carsten Eickhoff ;
    • George Zerveas ;
    • Elizabeth S. Chen ;
    • Wen-Chih Wu ;
    • Indra N. Sarkar

    Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures


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    Polygenic mediation analysis of Alzheimer’s disease implicated intermediate amyloid imaging phenotypes

    • Yingxuan Eng ;
    • Xiaohui Yao ;
    • Kefei Liu ;
    • Shannon L. Risacher ;
    • Andrew J. Saykin ;
    • Qi Long ;
    • Yize Zhao ;
    • Li Shen

    Polygenic mediation analysis of Alzheimer’s disease implicated intermediate amyloid imaging phenotypes


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    A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure

    • Fatemeh Fahimi ;
    • Yang Guo ;
    • Shao Chuen Tong ;
    • Angela Ng Hwee Koon ;
    • Sharon Ong Yu Bing ;
    • Bryan Choo ;
    • Huang Weiling ;
    • Sheldon Lee ;
    • Savitha Ramasamy ;
    • Wai Leng Chow ;
    • Oh Hong Choon ;
    • Pavitra Krishnaswamy

    A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure


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    Leveraging digital media data for pharmacovigilance

    • Hammad Farooq ;
    • Junaid S. Niaz ;
    • Saira Fakhar ;
    • Hammad Naveed

    Leveraging digital media data for pharmacovigilance


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    SpiNet - A FrameNet-like Schema for Automatic Information Extraction about Spine from Scientific Papers

    • Vanessa C. Ferreira ;
    • Vládia C. Pinheiro

    SpiNet - A FrameNet-like Schema for Automatic Information Extraction about Spine from Scientific Papers


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    Knowledge Extraction of Cohort Characteristics in Research Publications

    • Jay D. S. Franklin ;
    • Shruthi Chari ;
    • Morgan Foreman ;
    • Oshani Seneviratne ;
    • Daniel Gruen ;
    • James P. McCusker ;
    • Amar K. Das ;
    • Deborah L. McGuinness

    Knowledge Extraction of Cohort Characteristics in Research Publications


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    Evaluating the Coverage of the HL7® FHIR® Standard to Support eSource Data Exchange Implementations for use in Multi-Site Clinical Research Studies

    • Maryam Y. Garza ;
    • Michael W. Rutherford ;
    • Sahiti Myneni ;
    • Susan H. Fenton ;
    • Anita Walden ;
    • Umit Topaloglu ;
    • Eric Eisenstein ;
    • Karan R. Kumar ;
    • Kanecia Zimmerman ;
    • Mitra Rocca ;
    • Scott Gordon ;
    • Sam Hume ;
    • Zhan Wang ;
    • Meredith Zozus

    Evaluating the Coverage of the HL7® FHIR® Standard to Support eSource Data Exchange Implementations for use in Multi-Site Clinical Research Studies


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    Desiderata for High Quality AMIA Presentation Files

    • James Geller ;
    • Yarou Ding

    Desiderata for High Quality AMIA Presentation Files


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    A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging

    • Bernard Gibaud ;
    • Marine Brenet ;
    • Guillaume Pasquier ;
    • Alex Vergara Gil ;
    • Manuel Bardiès ;
    • John Stratakis ;
    • John Damilakis ;
    • Nicolas Van Dooren ;
    • Joël Spaltenstein ;
    • Osman Ratib

    A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging


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    Patient choice of telemedicine increases timeliness of primary care visits

    • Ilana Graetz ;
    • Jie Huang ;
    • Emilie Muelly ;
    • Anjali Gopalan ;
    • Mary Reed

    Patient choice of telemedicine increases timeliness of primary care visits


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    Conversational Agents for Chronic Disease Self-Management: A Systematic Review

    • Ashley C. Griffin ;
    • Zhaopeng Xing ;
    • Saif Khairat ;
    • Yue Wang ;
    • Stacy Bailey ;
    • Jaime Arguello ;
    • Arlene E. Chung

    Conversational Agents for Chronic Disease Self-Management: A Systematic Review


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    Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups

    • Yi Guo ;
    • Xing He ;
    • Tianchen Lyu ;
    • Hansi Zhang ;
    • Yonghui Wu ;
    • Xi Yang ;
    • Zhaoyi Chen ;
    • Merry J. Markham ;
    • Francois Modave ;
    • Mengjun Xie ;
    • William Hogan ;
    • Christopher A. Harle ;
    • Elizabeth Shenkman ;
    • Jiang Bian

    Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups


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    Designing Inpatient Portals to Support Patient Agency and Dynamic Hospital Experiences

    • Shefali Haldar ;
    • Maher Khelifi ;
    • Sonali R. Mishra ;
    • Calvin Apodaca ;
    • Erin Beneteau ;
    • Ari H. Pollack ;
    • Wanda Pratt

    Designing Inpatient Portals to Support Patient Agency and Dynamic Hospital Experiences


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    Improving the Utility of Tobacco-Related Problem List Entries Using Natural Language Processing

    • Daniel R. Harris ;
    • Darren W. Henderson ;
    • Alexandria Corbeau

    Improving the Utility of Tobacco-Related Problem List Entries Using Natural Language Processing


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    What Do Patients Care About? Mining Fine-grained Patient Concerns from Online Physician Reviews Through Computer-Assisted Multi-level Qualitative Analysis

    • Lu He ;
    • Changyang He ;
    • Yue Wang ;
    • Zhaoxian Hu ;
    • Kai Zheng ;
    • Yunan Chen

    What Do Patients Care About? Mining Fine-grained Patient Concerns from Online Physician Reviews Through Computer-Assisted Multi-level Qualitative Analysis


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    Automatically classifying the evidence type of drug-drug interaction research papers as a step toward computer supported evidence curation

    • Linh K. Hoang ;
    • Richard D. Boyce ;
    • Nigel Bosch ;
    • Britney Stottlemyer ;
    • Mathias Brochhausen ;
    • Jodi Schneider

    Automatically classifying the evidence type of drug-drug interaction research papers as a step toward computer supported evidence curation


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    Developing and Validating a Model for Detecting Longitudinal Inconsistencies in the Electronic Problem List

    • Chad M. Hodge ;
    • Scott P. Narus ;
    • Greg Stoddard

    Developing and Validating a Model for Detecting Longitudinal Inconsistencies in the Electronic Problem List


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    Methods for Large-Scale Quantitative Analysis of Scribe Impacts on Clinical Documentation

    • Michelle R. Hribar ;
    • Haley Dusek ;
    • Isaac Goldstein ;
    • Adam Rule ;
    • Michael F. Chiang

    Methods for Large-Scale Quantitative Analysis of Scribe Impacts on Clinical Documentation


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    More than a Database: Understanding Community Resource Referrals within a Socio-Technical Systems Framework

    • Bradley E. Iott ;
    • Cassandra Eddy ;
    • Cristian Casanova ;
    • Tiffany Veinot

    More than a Database: Understanding Community Resource Referrals within a Socio-Technical Systems Framework


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    Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection

    • Ashutosh Jadhav ;
    • Ken C. L. Wong ;
    • Joy T. Wu ;
    • Mehdi Moradi ;
    • Tanveer Syeda-Mahmood

    Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection


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    Patient-Specific Modeling with Personalized Decision Paths

    • Adriana Johnson ;
    • Gregory F. Cooper ;
    • Shyam Visweswaran

    Patient-Specific Modeling with Personalized Decision Paths


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    Learning Tasks of Pediatric Providers from Electronic Health Record Audit Logs

    • Barrett Jones ;
    • Xinmeng Zhang ;
    • Bradley Malin ;
    • You Chen

    Learning Tasks of Pediatric Providers from Electronic Health Record Audit Logs


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    Predicting Volume Responsiveness Among Sepsis Patients Using Clinical Data and Continuous Physiological Waveforms

    • Rishikesan Kamaleswaran ;
    • Jiaoying Lian ;
    • Dong-Lien Lin ;
    • Himasagar Molakapuri ;
    • Sri Manikanth Nunna ;
    • Parth Shah ;
    • Shiv Dua ;
    • Rema Padman

    Predicting Volume Responsiveness Among Sepsis Patients Using Clinical Data and Continuous Physiological Waveforms


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    A Clinically Practical and Interpretable Deep Model for ICU Mortality Prediction with External Validation

    • Yanni Kang ;
    • Xiaoyu Jia ;
    • Yiying Hu ;
    • Jianying Guo ;
    • Xiang Li ;
    • GuoTong Xie ;
    • Kaifei Wang

    A Clinically Practical and Interpretable Deep Model for ICU Mortality Prediction with External Validation


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    Coding Free-Text Chief Complaints from a Health Information Exchange: A Preliminary Study

    • Sotiris Karagounis ;
    • Indra N. Sarkar ;
    • Elizabeth S. Chen

    Coding Free-Text Chief Complaints from a Health Information Exchange: A Preliminary Study


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    Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives

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

    Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives


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    Facilitating information extraction without annotated data using unsupervised and positive-unlabeled learning

    • Zfania Tom Korach ;
    • Sharmitha Yerneni ;
    • Jonathan Einbinder ;
    • Carl Kallenberg ;
    • Li Zhou

    Facilitating information extraction without annotated data using unsupervised and positive-unlabeled learning


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    Modeling Disease Progression Trajectories from Longitudinal Observational Data

    • Bum Chul Kwon ;
    • Peter Achenbach ;
    • Jessica L. Dunne ;
    • William Hagopian ;
    • Markus Lundgren ;
    • Kenney Ng ;
    • Riitta Veijola ;
    • Brigitte I. Frohnert ;
    • Vibha Anand

    Modeling Disease Progression Trajectories from Longitudinal Observational Data


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    A Phylogenetic Approach to Analyze the Conservativeness of BRCA1 and BRCA2 Mutations

    • Jiaying Lai ;
    • Indra N. Sarkar

    A Phylogenetic Approach to Analyze the Conservativeness of BRCA1 and BRCA2 Mutations


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    Utilization of BPM+ Health for the Representation of Clinical Knowledge: A Framework for the Expression and Assessment of Clinical Practice Guidelines (CPG) Utilizing Existing and Emerging Object Management Group (OMG) Standards

    • Robert F. Lario ;
    • Steve Hasely ;
    • Stephen White ;
    • Karen Eilbeck ;
    • Richard Soley ;
    • Stan Huff ;
    • Kensaku Kawamoto

    Utilization of BPM+ Health for the Representation of Clinical Knowledge: A Framework for the Expression and Assessment of Clinical Practice Guidelines (CPG) Utilizing Existing and Emerging Object Management Group (OMG) Standards


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    Establish a Real-time Responsible Home Quarantine and Monitoring Management mHealth Platform

    • Siang Hao Lee

    Establish a Real-time Responsible Home Quarantine and Monitoring Management mHealth Platform


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    Impact of Individual versus Geographic-Area Measures of Socioeconomic Status on Health Associations Observed in the Behavioral Risk Factor Surveillance System

    • Lena Leszinsky ;
    • Sherrie Xie ;
    • Avantika Diwadkar ;
    • Rebecca Greenblatt ;
    • Rebecca A. Hubbard ;
    • Blanca E. Himes

    Impact of Individual versus Geographic-Area Measures of Socioeconomic Status on Health Associations Observed in the Behavioral Risk Factor Surveillance System


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    Using Real-World Data to Rationalize Clinical Trials Eligibility Criteria: a case study on Alzheimer’s Disease and Donepezil

    • Qian Li ;
    • Yi Guo ;
    • Zhe He ;
    • Hansi Zhang ;
    • Thomas J. George ;
    • Jiang Bian

    Using Real-World Data to Rationalize Clinical Trials Eligibility Criteria: a case study on Alzheimer’s Disease and Donepezil


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    Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology

    • Ying Li ;
    • Bin Liu ;
    • Vibha Anand ;
    • Markus Lundgren ;
    • Kenney Ng ;
    • Marian Rewers ;
    • Riitta Veijola ;
    • Mohamed Ghalwash

    Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology


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    An Interpretable Machine Learning Survival Model for Predicting Long-term Kidney Outcomes in IgA Nephropathy

    • Yingxue Li ;
    • Tingyu Chen ;
    • Tiange Chen ;
    • Xiang Li ;
    • caihong zeng ;
    • Zhihong Liu ;
    • Guotong Xie $lastName

    An Interpretable Machine Learning Survival Model for Predicting Long-term Kidney Outcomes in IgA Nephropathy


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    Validation of the Data Quality of a Tumor Board Registry Through Assessment of Clinicopathologic Survival Outcomes in Melanoma Patients

    • Katherine Given Ligtenberg ;
    • David Chartash ;
    • Marcus Bosenberg ;
    • Cynthia Brandt

    Validation of the Data Quality of a Tumor Board Registry Through Assessment of Clinicopathologic Survival Outcomes in Melanoma Patients


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    Neural Multi-Task Learning for Adverse Drug Reaction Extraction

    • Feifan Liu ;
    • Xiaoyu Zheng ;
    • Hong Yu ;
    • Jennifer Tjia

    Neural Multi-Task Learning for Adverse Drug Reaction Extraction


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    Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases

    • Luchen Liu ;
    • Zequn Liu ;
    • Haoxian Wu ;
    • Zichang Wang ;
    • Jianhao Shen ;
    • Yiping Song ;
    • Ming Zhang

    Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases


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    Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients

    • MingYu Lu ;
    • Zachary Shahn ;
    • Daby Sow ;
    • Finale Doshi-Velez ;
    • Li-wei Lehman

    Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients


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    Retrieving Lab Test Related Questions from Social Q&A Sites by Combining Shallow Features and Deep Representations

    • Yu Lu ;
    • Xiao Luo ;
    • Zhan Zhang ;
    • Haoran Ding ;
    • Zhe He

    Retrieving Lab Test Related Questions from Social Q&A Sites by Combining Shallow Features and Deep Representations


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    Artificial Intelligence Decision Support for Medical Triage

    • Chiara Marchiori ;
    • Douglas Dykeman ;
    • Ivan Girardi ;
    • Adam Ivankay ;
    • Kevin Thandiackal ;
    • Mario Zusag ;
    • Andrea Giovannini ;
    • Daniel Karpati ;
    • Henri L. Saenz

    Artificial Intelligence Decision Support for Medical Triage


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    Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning

    • Mamoun T. Mardini ;
    • Subhash Nerella ;
    • Amal A. Wanigatunga ;
    • Santiago Saldana ;
    • Ramon Casanova ;
    • Todd M. Manini

    Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning


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    Identification of Common Data Elements from Pivotal FDA Trials

    • Craig S. Mayer ;
    • Nick Williams ;
    • Vojtech Huser

    Identification of Common Data Elements from Pivotal FDA Trials


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    Social Determinant of Health Documentation Trends and Their Association with Emergency Department Admissions

    • Leigh A. McCormack ;
    • Charisse Madlock-Brown

    Social Determinant of Health Documentation Trends and Their Association with Emergency Department Admissions


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    Applying User-Centered Design in the Electronic Health Record (EHR) to Facilitate Patient-Centered Care in Oncology

    • Chelsea L. Michael ;
    • Haley Mittelstaedt ;
    • Yuxiao Chen ;
    • Anjali V. Desai ;
    • Gilad Kuperman

    Applying User-Centered Design in the Electronic Health Record (EHR) to Facilitate Patient-Centered Care in Oncology


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    Why Should I Trust You? Supporting the Sharing of Health Data in the Interprofessional Space of Child Development

    • Sean P. Mikles ;
    • Lauren E. Snyder ;
    • Julie A. Kientz ;
    • Anne M. Turner

    Why Should I Trust You? Supporting the Sharing of Health Data in the Interprofessional Space of Child Development


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    Can I Take a Break? Facilitating In-Home Respite Care for Family Caregivers of Older Adults

    • Aehong Min ;
    • Flannery Currin ;
    • Gustavo Razo ;
    • Kay Connelly ;
    • Patrick C. Shih

    Can I Take a Break? Facilitating In-Home Respite Care for Family Caregivers of Older Adults


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    Bleeding Entity Recognition in Electronic Health Records: A Comprehensive Analysis of End-to-End Systems

    • Avijit Mitra ;
    • Bhanu Pratap Singh Rawat ;
    • David McManus ;
    • Alok Kapoor ;
    • Hong Yu

    Bleeding Entity Recognition in Electronic Health Records: A Comprehensive Analysis of End-to-End Systems


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    VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange

    • Arturo Moncada-Torres ;
    • Frank Martin ;
    • Melle Sieswerda ;
    • Johan van Soest ;
    • Gijs Geleijnse

    VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange


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    Information Needs of Skilled Nursing Facility Staff to Support Heart Failure Disease Management

    • Cynthia D. Morrow ;
    • Blaine Reeder ;
    • Marcelo C. Perraillon ;
    • Mustafa Ozkaynak ;
    • Heidi Wald ;
    • Leslie E. Eber ;
    • Joanna Trojanowski ;
    • Catherine Battaglia ;
    • Rebecca S. Boxer

    Information Needs of Skilled Nursing Facility Staff to Support Heart Failure Disease Management


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    Time-motion examination of electronic health record utilization and clinician workflows indicate frequent task switching and documentation burden

    • Amanda J. Moy ;
    • Jessica Schwartz ;
    • Jonathan Elias ;
    • Seemab Imran ;
    • Eugene Lucas ;
    • Kenrick Cato ;
    • Sarah Collins Rossetti

    Time-motion examination of electronic health record utilization and clinician workflows indicate frequent task switching and documentation burden


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    The Children’s Oncology Planning for Emergencies (COPE) Tool: Prototyping with Caregivers of Children with Cancer

    • Emily L. Mueller ;
    • Anneli R. Cochrane ;
    • Courtney M. Moore ;
    • Andrew D. Miller ;
    • Sarah E. Wiehe

    The Children’s Oncology Planning for Emergencies (COPE) Tool: Prototyping with Caregivers of Children with Cancer


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    Evaluating Commercially Available Mobile Apps for Depression Self-Management

    • Annie C. Myers ;
    • Lewis Chesebrough ;
    • Ruixuan Hu ;
    • Meghan Reading Turchioe ;
    • Jyotishman Pathak ;
    • Ruth Masterson Creber

    Evaluating Commercially Available Mobile Apps for Depression Self-Management


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    Assessing the Quality of Electronic Data for ‘Fit-for-Purpose’ by Utilizing Data Profiling Techniques Prior to Conducting a Survival Analysis for Adults with Acute Lymphoblastic Leukemia

    • Victoria Ngo ;
    • Theresa H. Keegan ;
    • Brian A. Jonas ;
    • Mike Hogarth ;
    • Katherine K. Kim

    Assessing the Quality of Electronic Data for ‘Fit-for-Purpose’ by Utilizing Data Profiling Techniques Prior to Conducting a Survival Analysis for Adults with Acute Lymphoblastic Leukemia


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    A Reliable Machine Learning Approach applied to Single-Cell Classification in Acute Myeloid Leukemia

    • Giovanna Nicora ;
    • Riccardo Bellazzi

    A Reliable Machine Learning Approach applied to Single-Cell Classification in Acute Myeloid Leukemia


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    Building a Graph Representation of LOINC® to Facilitate its Alignment to French Terminologies

    • Jean N. Nikiema ;
    • Fleur Mougin ;
    • Vianney Jouhet

    Building a Graph Representation of LOINC® to Facilitate its Alignment to French Terminologies


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    Building an Automated Orofacial Pain, Headache and Temporomandibular Disorder Diagnosis System

    • Luciano Nocera ;
    • Anette P. Vistoso Monreal ;
    • Yuya Yoshida ;
    • Yuka Abe ;
    • Chukwudubem Nwoji ;
    • Glenn T. Clark

    Building an Automated Orofacial Pain, Headache and Temporomandibular Disorder Diagnosis System


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    Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes

    • Morteza Noshad ;
    • Christian Rose ;
    • Robert Thombley ;
    • Jonathan Chiang ;
    • Conor K. Corbin ;
    • Minh Nguyen ;
    • Vincent Liu ;
    • Julia Adler-Milstein ;
    • Jonathan H. Chen

    Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes


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    Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning

    • William Ogallo ;
    • Skyler Speakman ;
    • Victor Akinwande ;
    • Kush Varshney ;
    • Aisha Walcott ;
    • Charity Wayua ;
    • Komminist Weldemariam ;
    • Claire-Helene Mershon ;
    • Nosa Orobaton

    Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning


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    Identification of Gout Flares in Chief Complaint Text Using Natural Language Processing

    • John D. Osborne ;
    • James S. Booth ;
    • Tobias O'Leary ;
    • Amy Mudano ;
    • Giovanna Rosas ;
    • Phillip Foster ;
    • Kenneth Saag ;
    • Maria Danila

    Identification of Gout Flares in Chief Complaint Text Using Natural Language Processing


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    Characterizing database granularity using SNOMED-CT hierarchy

    • Anna Ostropolets ;
    • Christian G. Reich ;
    • Patrick B. Ryan ;
    • Chunhua Weng ;
    • Anthony Molinaro ;
    • Frank DeFalco ;
    • Jitendra Jonnagaddala ;
    • Siaw-Teng Liaw ;
    • Ho Kyun Jeon ;
    • Rae Woong Park ;
    • Matthew E. Spotnitz ;
    • Karthik Natarajan ;
    • Kristin Kostka ;
    • George Argyriou ;
    • Robert T. Miller ;
    • Andrew Williams ;
    • Evan Minty ;
    • Jose D. Posada ;
    • George Hripcsak

    Characterizing database granularity using SNOMED-CT hierarchy


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    Simulating Teamwork for Better Decision Making in Pediatric Emergency Medical Services

    • Mustafa Ozkaynak ;
    • Casey Dolen ;
    • Yeshai Dollin ;
    • Kathryn Kothari ;
    • Kathleen Adelgais

    Simulating Teamwork for Better Decision Making in Pediatric Emergency Medical Services


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    Machine Learning Techniques for Personalized Detection of Epileptic Events in Clinical Video Recordings

    • Matthew Pediaditis ;
    • Anca-Nicoleta Ciubotaru ;
    • Thomas Brunschwiler ;
    • Peter Hilfiker ;
    • Thomas Grunwald ;
    • Marcellina Häberlin ;
    • Lukas Imbach ;
    • Carl Muroi ;
    • Christian Strässle ;
    • Emanuela Keller ;
    • Maria Gabrani

    Machine Learning Techniques for Personalized Detection of Epileptic Events in Clinical Video Recordings


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    Preliminary Qualitative and Quantitative Evaluation of DESIREE, a Decision Support Platform for the Management of Primary Breast Cancer Patients

    • Sylvia Pelayo ;
    • Jacques Bouaud ;
    • Claudia Blancafort ;
    • Jean-Baptiste Lamy ;
    • Booma Devi Sekar ;
    • Nekane Larburu ;
    • Naiara Muro ;
    • Ander Urruticoechea ;
    • Jon belloso ;
    • Guillermo Valderas ;
    • Sara Guardiola ;
    • Charlotte Ngo ;
    • Luis Teixeira ;
    • Gilles Guézennec ;
    • Brigitte Séroussi

    Preliminary Qualitative and Quantitative Evaluation of DESIREE, a Decision Support Platform for the Management of Primary Breast Cancer Patients


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    Development and Alpha Testing of Specifications for a Prolonged Opioid Prescribing Electronic Clinical Quality Measure (eCQM)

    • Avery Pullman ;
    • Ania Syrowatka ;
    • Alexandra Businger ;
    • Michael Sainlaire ;
    • Stuart Lipsitz ;
    • Tien Thai ;
    • Woongki Kim ;
    • David W. Bates ;
    • Patricia C. Dykes

    Development and Alpha Testing of Specifications for a Prolonged Opioid Prescribing Electronic Clinical Quality Measure (eCQM)


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    Automatic MeSH Indexing: Revisiting the Subheading Attachment Problem

    • Alastair R. Rae ;
    • David O. Pritchard ;
    • James G. Mork ;
    • Dina Demner-Fushman

    Automatic MeSH Indexing: Revisiting the Subheading Attachment Problem


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    Inferring ADR causality by predicting the Naranjo Score from Clinical Notes

    • Bhanu Pratap Singh Rawat ;
    • Abhyuday Jagannatha ;
    • Feifan Liu ;
    • Hong Yu

    Inferring ADR causality by predicting the Naranjo Score from Clinical Notes


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    User-Centered Design of a Machine Learning Intervention for Suicide Risk Prediction in a Military Setting

    • Carrie Reale ;
    • Laurie L. Novak ;
    • Katelyn Robinson ;
    • Christopher L. Simpson ;
    • Jessica D. Ribeiro ;
    • Joseph C. Franklin ;
    • Michael Ripperger ;
    • Colin Walsh

    User-Centered Design of a Machine Learning Intervention for Suicide Risk Prediction in a Military Setting


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    EffiCare: Better Prognostic Models via Resource-Efficient Health Embeddings

    • Nils Rethmeier ;
    • Necip Oguz Serbetci ;
    • Sebastian Möller ;
    • Roland A. Roller

    EffiCare: Better Prognostic Models via Resource-Efficient Health Embeddings


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    What Do Patients and Caregivers Want? A Systematic Review of User Suggestions to Improve Patient Portals

    • Tera L. Reynolds ;
    • Nida Ali ;
    • Kai Zheng

    What Do Patients and Caregivers Want? A Systematic Review of User Suggestions to Improve Patient Portals


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    Phenotype Concept Set Construction from Concept Pair Likelihoods

    • Victor A. Rodriguez ;
    • Tony Sun ;
    • Phyllis Thangaraj ;
    • Chao Pang ;
    • Krishna Kalluri ;
    • Xinzhuo Jiang ;
    • Karthik Natarajan ;
    • Patrick B. Ryan ;
    • Anna Ostropolets ;
    • RuiJun Chen

    Phenotype Concept Set Construction from Concept Pair Likelihoods


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    NeuroIntegrative Connectivity (NIC) Informatics Tool for Brain Functional Connectivity Network Analysis in Cohort Studies

    • Satya S. Sahoo ;
    • Arthur Gershon ;
    • Nassim Shafiabadi ;
    • Kaushik Ghosh ;
    • Curtis Tatsuoka ;
    • Samden Lhatoo ;
    • Guadalupe Fernandez-BacaVaca

    NeuroIntegrative Connectivity (NIC) Informatics Tool for Brain Functional Connectivity Network Analysis in Cohort Studies


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    STAN-CT: Standardizing CT Image using Generative Adversarial Networks

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

    STAN-CT: Standardizing CT Image using Generative Adversarial Networks


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    Easy Medication Reconciliation at Hospital Admission: The EzMedRec Decision Support System

    • Brigitte Séroussi ;
    • Mourad B. Ghomari ;
    • Gilles Guézennec ;
    • Florence Federspiel ;
    • Isabelle Debrix ;
    • Jacques Bouaud

    Easy Medication Reconciliation at Hospital Admission: The EzMedRec Decision Support System


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    Revealing Intention In Health-related Peer Interactions: Implications For Optimizing Patient Engagement In Self-health Management

    • Tavleen Singh ;
    • Jing Wang ;
    • Sahiti Myneni

    Revealing Intention In Health-related Peer Interactions: Implications For Optimizing Patient Engagement In Self-health Management


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    Natural Language Processing and Machine Learning to Enable Clinical Decision Support for Treatment of Pediatric Pneumonia

    • Joshua C. Smith ;
    • Ashley Spann ;
    • Allison B. McCoy ;
    • Jakobi A. Johnson ;
    • Donald H. Arnold ;
    • Derek J. Williams ;
    • Asli Weitkamp

    Natural Language Processing and Machine Learning to Enable Clinical Decision Support for Treatment of Pediatric Pneumonia


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    Exploring JSON-LD as an Executable Definition of FHIR RDF to Enable Semantics of FHIR Data

    • Harold R. Solbrig ;
    • Dazhi Jiao ;
    • Eric Prud’hommeaux ;
    • David Booth ;
    • Cory Endle ;
    • Daniel Stone ;
    • Guoqian Jiang

    Exploring JSON-LD as an Executable Definition of FHIR RDF to Enable Semantics of FHIR Data


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    Patient Cohort Retrieval using Transformer Language Models

    • Sarvesh Soni ;
    • Kirk Roberts

    Patient Cohort Retrieval using Transformer Language Models


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    Pressure Ulcer Injury in Unstructured Clinical Notes: Detection and Interpretation

    • Mani Sotoodeh ;
    • Zelalem Gero ;
    • Wenhui Zhang ;
    • Roy L. Simpson ;
    • Vicki Hertzberg ;
    • Joyce C. Ho

    Pressure Ulcer Injury in Unstructured Clinical Notes: Detection and Interpretation


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    Analyzing Description, User Understanding and Expectations of AI in Mobile Health Applications

    • Zhaoyuan Su ;
    • Mayara Costa Figueiredo ;
    • Jueun Jo ;
    • Kai Zheng ;
    • Yunan Chen

    Analyzing Description, User Understanding and Expectations of AI in Mobile Health Applications


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    Timely and Efficient AI Insights on EHR: System Design

    • Parthasarathy Suryanarayanan ;
    • Edward Epstein ;
    • Abhishek Malvankar ;
    • Burn Lewis ;
    • Lou Degenaro ;
    • Jennifer J. Liang ;
    • Ching-Huei Tsou ;
    • Divya R. Pathak

    Timely and Efficient AI Insights on EHR: System Design


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    Extracting and Learning Fine-grained Labels from Chest Radiographs

    • Tanveer Syeda-Mahmood ;
    • Ken C. L. Wong ;
    • Joy T. Wu ;
    • Ashutosh Jadhav ;
    • Orest Boyko

    Extracting and Learning Fine-grained Labels from Chest Radiographs


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    Re-tooling an Existing Clinical Quality Measure for Chronic Opioid Use to an Electronic Clinical Quality Measure (eCQM) for Post-Operative Opioid Prescribing: Development and Testing of Draft Specifications

    • Ania Syrowatka ;
    • Avery Pullman ;
    • Woongki Kim ;
    • Stuart Lipsitz ;
    • Michael Sainlaire ;
    • Wenyu Song ;
    • Tien Thai ;
    • David W. Bates ;
    • Patricia C. Dykes

    Re-tooling an Existing Clinical Quality Measure for Chronic Opioid Use to an Electronic Clinical Quality Measure (eCQM) for Post-Operative Opioid Prescribing: Development and Testing of Draft Specifications


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    Health information exchange use during dental visits

    • Heather L. Taylor ;
    • Nate Apathy ;
    • Joshua R. Vest

    Health information exchange use during dental visits


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    Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network

    • Jiayi Tong ;
    • Zhaoyi Chen ;
    • Rui Duan ;
    • Wei-Hsuan Lo-Ciganic ;
    • Tianchen Lyu ;
    • Cui Tao ;
    • Peter A. Merkel ;
    • Henry R. Kranzler ;
    • Jiang Bian ;
    • Yong Chen

    Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network


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    Recruiting older adult participants through crowdsourcing platforms: Mechanical Turk versus Prolific Academic

    • Anne M. Turner ;
    • Thomas Engelsma ;
    • Jean O. Taylor ;
    • Rashmi K. Sharma ;
    • George Demiris

    Recruiting older adult participants through crowdsourcing platforms: Mechanical Turk versus Prolific Academic


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    End user information needs for a SMART on FHIR-based automated transfer form to support the care of nursing home patients during emergency department visits

    • Joshua R. Vest ;
    • Mark A. Unruh ;
    • Katy Ellis Hilts ;
    • Lindsey Sanner ;
    • Joshua Jones ;
    • Shahid Khokhar ;
    • Hye-Young Jung

    End user information needs for a SMART on FHIR-based automated transfer form to support the care of nursing home patients during emergency department visits


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    AllergyMap: An Open Source Corpus of Allergy Mention Normalizations

    • Amy Y. Wang ;
    • John D. Osborne ;
    • Maria I. Danila ;
    • andrew Naidech ;
    • David M. Liebovitz

    AllergyMap: An Open Source Corpus of Allergy Mention Normalizations


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    Accelerating Epidemiological Investigation Analysis by Using NLP and Knowledge Reasoning: A Case Study on COVID-19

    • Jian Wang ;
    • Ke Wang ;
    • Jing Li ;
    • Jianmin Jiang ;
    • Yanfei Wang ;
    • Jing Mei ;
    • Shaochun Li

    Accelerating Epidemiological Investigation Analysis by Using NLP and Knowledge Reasoning: A Case Study on COVID-19


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    A Preliminary Characterization of Canonicalized and Non-Canonicalized Section Headers Across Variable Clinical Note Types

    • Junjie Wang ;
    • Shun Yu ;
    • Anahita Davoudi ;
    • Danielle Mowery

    A Preliminary Characterization of Canonicalized and Non-Canonicalized Section Headers Across Variable Clinical Note Types


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    DenseCNN: A Densely Connected CNN Model for Alzheimer's Disease Classification Based on Hippocampus MRI Data

    • Qinyong Wang ;
    • Chunlei Zheng ;
    • Rong Xu

    DenseCNN: A Densely Connected CNN Model for Alzheimer's Disease Classification Based on Hippocampus MRI Data


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    Do traditional BMI categories capture future obesity? A comparison with trajectories of BMI and incidence of cancer

    • Charlotte Watson ;
    • Nophar Geifman

    Do traditional BMI categories capture future obesity? A comparison with trajectories of BMI and incidence of cancer


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    A Descriptive Study of HIV Patients Highly Adherent to Antiretroviral Therapy

    • Nick Williams ;
    • Craig S. Mayer ;
    • Vojtech Huser

    A Descriptive Study of HIV Patients Highly Adherent to Antiretroviral Therapy


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    AI Accelerated Human-in-the-loop Structuring of Radiology Reports

    • Joy T. Wu ;
    • Ali B. Syed ;
    • Hassan Ahmad ;
    • Anup Pillai ;
    • Yaniv Gur ;
    • Ashutosh Jadhav ;
    • Daniel F. Gruhl ;
    • Linda kato ;
    • Mehdi Moradi ;
    • Tanveer Syeda-Mahmood

    AI Accelerated Human-in-the-loop Structuring of Radiology Reports


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    The Centroid Cannot Hold: Comparing Sequential and Global Estimates of Coherence as Indicators of Formal Thought Disorder

    • Weizhe Xu ;
    • Jake Portanova ;
    • Ayesha Chander ;
    • Dror Ben-Zeev ;
    • Trevor A. Cohen

    The Centroid Cannot Hold: Comparing Sequential and Global Estimates of Coherence as Indicators of Formal Thought Disorder


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    Prediction of secondary structure population and intrinsic disorder of proteins using multitask deep learning

    • Ying Xu ;
    • Andre Leier ;
    • Tatiana T. Marquez-Lago ;
    • Jue Xie ;
    • Antonio Jimeno Yepes ;
    • James Whisstock ;
    • Campbell Wilson ;
    • Jiangning Song

    Prediction of secondary structure population and intrinsic disorder of proteins using multitask deep learning


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    Generating Electronic Health Records with Multiple Data Types and Constraints

    • Chao Yan ;
    • Ziqi Zhang ;
    • Steve Nyemba ;
    • Bradley Malin

    Generating Electronic Health Records with Multiple Data Types and Constraints


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    Three Data-Driven Phenotypes of Multiple Organ Dysfunction Syndrome Preserved from Early Childhood to Middle Adulthood

    • Jiancheng Ye ;
    • L. Nelson Sanchez-Pinto

    Three Data-Driven Phenotypes of Multiple Organ Dysfunction Syndrome Preserved from Early Childhood to Middle Adulthood


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    Self-Diagnosis through AI-enabled Chatbot-based Symptom Checkers: User Experiences and Design Considerations

    • Yue You ;
    • Xinning Gui

    Self-Diagnosis through AI-enabled Chatbot-based Symptom Checkers: User Experiences and Design Considerations


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    Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model

    • Heming Zhang ;
    • Jiarui Feng ;
    • Amanda Zeng ;
    • Philip Payne ;
    • Fuhai Li

    Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model


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    Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery

    • Michael Zhang ;
    • Xiaotian Cheng ;
    • Daniel Copeland ;
    • Arjun D. Desai ;
    • Melody Guan ;
    • Gabriel Brat ;
    • Serena Yeung

    Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery


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    Statistical Impact of Sample Size and Imbalance on Multivariate Analysis in silico and A Case Study in the UK Biobank

    • Xinyuan Zhang ;
    • Ruowang Li ;
    • Marylyn Ritchie

    Statistical Impact of Sample Size and Imbalance on Multivariate Analysis in silico and A Case Study in the UK Biobank


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    A lexical-based approach for exhaustive detection of missing hierarchical IS-A relations in SNOMED CT

    • Fengbo Zheng ;
    • Jay Shi ;
    • Licong Cui

    A lexical-based approach for exhaustive detection of missing hierarchical IS-A relations in SNOMED CT


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    EHR Conversion on the PreOp Care: A Pre-Post Workflow Comparison

    • Lu Zheng ;
    • Benjamin J. Duncan ;
    • David R. Kaufman ;
    • Stephanie K. Furniss ;
    • Adela Grando ;
    • Karl Poterack ;
    • Richard Helmers ;
    • Bradley N. Doebbeling

    EHR Conversion on the PreOp Care: A Pre-Post Workflow Comparison


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    Development of A Blockchain Framework for Virtual Clinical Trials

    • Yan Zhuang ;
    • Lincoln Sheets ;
    • Xiyuan Gao ;
    • Yuanyuan Shen ;
    • Zonyin Shae ;
    • Jeffrey Tsai ;
    • Chi-Ren Shyu

    Development of A Blockchain Framework for Virtual Clinical Trials


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    Digilego for Peripartum Depression: A Novel Patient-Facing Digital Health Instantiation

    • Alexandra Zingg ;
    • Deevakar Rogith ;
    • Jerrie Refuerzo ;
    • Sahiti Myneni

    Digilego for Peripartum Depression: A Novel Patient-Facing Digital Health Instantiation


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    Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning

    • Lei Zuo ;
    • Xin Du ;
    • Wei Zhao ;
    • Chao Jiang ;
    • Shijun Xia ;
    • Liu He ;
    • Rong Liu ;
    • Ribo Tang ;
    • Rong Bai ;
    • Jianzeng Dong ;
    • Xingzhi Sun ;
    • Gang Hu ;
    • Guotong Xie $lastName ;
    • Changsheng Ma

    Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning


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    Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study

    • Xu Zuo ;
    • Jianfu Li ;
    • Bo Zhao ;
    • Yujia Zhou ;
    • xiao dong ;
    • Jon Duke ;
    • Karthik Natarajan ;
    • George Hripcsak ;
    • Nigam Shah ;
    • Juan Banda ;
    • Ruth M. Reeves ;
    • Hua Xu

    Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study


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