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  • Paper

    Improving Interoperability between Registries and EHRs

    • Seth Blumenthal

    Improving Interoperability between Registries and EHRs


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    What's in a Note? Unpacking Predictive Value in Clinical Note Representations

    • Willie Boag ;
    • Dustin Doss ;
    • Tristan Naumann ;
    • Peter Szolovits

    What's in a Note? Unpacking Predictive Value in Clinical Note Representations


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    ICD-10 procedure codes produce transition challenges

    • Andrew Boyd ;
    • Jianrong Li ;
    • Colleen Kenost ;
    • Samir Rachid Zaim ;
    • Jacob Krive ;
    • Manish Mittal ;
    • Richard Satava ;
    • Michael Burton ;
    • Jacob Smith ;
    • Yves Lussier

    ICD-10 procedure codes produce transition challenges


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    A Network-Theoretic Analysis of Hospital Admission, Transfer, and Discharge Data

    • Maria Cioffi ;
    • Naba Mukhtar ;
    • Nathan Ryan ;
    • Joseph Klobusicky

    A Network-Theoretic Analysis of Hospital Admission, Transfer, and Discharge Data


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    Automatically Linking Registered Clinical Trials to their Published Results with Deep Highway Networks

    • Travis R. Goodwin ;
    • Michael A. Skinner ;
    • Sanda M. Harabagiu

    Automatically Linking Registered Clinical Trials to their Published Results with Deep Highway Networks


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    Predicting the Outcome of Patient-Provider Communication Sequences using Recurrent Neural Networks and Probabilistic Models

    • Mehedi Hasan ;
    • Alexander Kotov ;
    • April I. Carcone ;
    • Ming Dong ;
    • Sylvie Naar

    Predicting the Outcome of Patient-Provider Communication Sequences using Recurrent Neural Networks and Probabilistic Models


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    Integrating Structured and Unstructured EHR Data Using an FHIR-based Type System: A Case Study with Medication Data

    • Na Hong ;
    • Andrew Wen ;
    • Feichen Shen ;
    • Sunghwan Sohn ;
    • Sijia Liu ;
    • Hongfang Liu ;
    • Guoqian Jiang

    Integrating Structured and Unstructured EHR Data Using an FHIR-based Type System: A Case Study with Medication Data


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    Usability Evaluation of an Unstructured Clinical Document Query Tool for Researchers

    • Gretchen Hultman ;
    • Reed McEwan ;
    • Serguei V. Pakhomov ;
    • Elizabeth A. Lindemann ;
    • Steven J. Skube ;
    • Genevieve B. Melton

    Usability Evaluation of an Unstructured Clinical Document Query Tool for Researchers


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    CDISC SHARE, a Global, Cloud-based Resource of Machine-Readable CDISC Standards for Clinical and Translational Research

    • Sam Hume ;
    • ANTHONY CHOW ;
    • Julie Evans ;
    • Frederik Malfait ;
    • Julie Chason ;
    • Julia D. Wold ;
    • Wayne Kubick ;
    • Lauren Becnel

    CDISC SHARE, a Global, Cloud-based Resource of Machine-Readable CDISC Standards for Clinical and Translational Research


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    From Sour Grapes to Low-Hanging Fruit: A Case Study Demonstrating a Practical Strategy for Natural Language Processing Portability

    • Stephen B. Johnson ;
    • Prakash Adekkanattu ;
    • Thomas R. Campion ;
    • James Flory ;
    • Jyotishman Pathak ;
    • Olga V. Patterson ;
    • Scott DuVall ;
    • Vincent Major ;
    • Yindalon Aphinyanaphongs

    From Sour Grapes to Low-Hanging Fruit: A Case Study Demonstrating a Practical Strategy for Natural Language Processing Portability


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    Predicting Causes of Data Quality Issues in a Clinical Data Research Network

    • Ritu Khare ;
    • Byron Ruth ;
    • Matt Miller ;
    • Joshua Tucker ;
    • Levon Utidjian ;
    • Hanieh RAZZAGHI ;
    • Nandan Patibandla ;
    • Evanette Burrows ;
    • Charles Bailey

    Predicting Causes of Data Quality Issues in a Clinical Data Research Network


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    Multi-Task Learning to Identify Outcome-Specific Risk Factors that Distinguish Individual Micro and Macrovascular Complications of Type 2 Diabetes

    • Era Kim ;
    • David S. Pieczkiewicz ;
    • Pedro J. Caraballo ;
    • M. Regina Castro ;
    • Gyorgy J. Simon

    Multi-Task Learning to Identify Outcome-Specific Risk Factors that Distinguish Individual Micro and Macrovascular Complications of Type 2 Diabetes


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    The Ad-Hoc Uncertainty Principle of Patient Privacy

    • Jeffrey G. Klann ;
    • Matthew Joss ;
    • Rohan Shirali ;
    • Marc Natter ;
    • Sebastian Schneeweiss ;
    • Kenneth Mandl ;
    • Shawn N. Murphy

    The Ad-Hoc Uncertainty Principle of Patient Privacy


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    Using Machine Learning Algorithms to Predict Risk for Development of Calciphylaxis in Patients with Chronic Kidney Disease

    • Ross Kleiman ;
    • Eric R. LaRose ;
    • Jonathan C. Badger ;
    • David Page ;
    • Michael Caldwell ;
    • James Clay ;
    • Peggy L. Peissig

    Using Machine Learning Algorithms to Predict Risk for Development of Calciphylaxis in Patients with Chronic Kidney Disease


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    Automated Detection of Diabetic Retinopathy using Deep Learning

    • Carson Lam ;
    • Darvin Yi ;
    • Margaret Guo ;
    • tony lindsey

    Automated Detection of Diabetic Retinopathy using Deep Learning


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    Memory-Augmented Active Deep Learning for Identifying Relations Distant Between Medical Concepts in Electroencephalography Reports

    • Ramon Maldonado ;
    • Travis R. Goodwin ;
    • Sanda M. Harabagiu

    Memory-Augmented Active Deep Learning for Identifying Relations Distant Between Medical Concepts in Electroencephalography Reports


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    Accurate and interpretable intensive care risk adjustment for fused clinical data with generalized additive models

    • Ben Marafino ;
    • R. Adams Dudley ;
    • Nigam Shah ;
    • Jonathan H. Chen

    Accurate and interpretable intensive care risk adjustment for fused clinical data with generalized additive models


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    Feasibility of Homomorphic Encryption for Sharing I2B2 Aggregate-Level Data in the Cloud

    • Jean Louis Raisaro ;
    • Jeffrey G. Klann ;
    • Kavishwar B. Wagholikar ;
    • Hossein Estiri ;
    • Jean-Pierre Hubaux ;
    • Shawn N. Murphy

    Feasibility of Homomorphic Encryption for Sharing I2B2 Aggregate-Level Data in the Cloud


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    Provider Adoption of Speech Recognition and its impact on Satisfaction, Documentation Quality, Efficiency, and Cost in an Inpatient EHR

    • Kshitij Saxena ;
    • Robert Diamond ;
    • Reid F. Conant ;
    • Terri Mitchell ;
    • Guido Gallopyn ;
    • Kristin Yakimow

    Provider Adoption of Speech Recognition and its impact on Satisfaction, Documentation Quality, Efficiency, and Cost in an Inpatient EHR


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    Identifying Supplement Use Within Clinical Notes: An Application of Natural Language Processing

    • Vivekanand Sharma ;
    • Indra N. Sarkar

    Identifying Supplement Use Within Clinical Notes: An Application of Natural Language Processing


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    Word Repetition in Separate Conversations for Detecting Dementia: A Preliminary Evaluation on Regular Monitoring Service

    • Kaoru Shinkawa ;
    • Yasunori Yamada

    Word Repetition in Separate Conversations for Detecting Dementia: A Preliminary Evaluation on Regular Monitoring Service


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    Applying Probabilistic Decision Models to Clinical Trial Design

    • Wade P. Smith ;
    • Mark H. Phillips

    Applying Probabilistic Decision Models to Clinical Trial Design


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    Inpatient Clinical Order Patterns Machine-Learned From Teaching Versus Attending-Only Medical Services

    • Jason K. Wang ;
    • Alejandro Schuler ;
    • Nigam Shah ;
    • Michael T. Baiocchi ;
    • Jonathan H. Chen

    Inpatient Clinical Order Patterns Machine-Learned From Teaching Versus Attending-Only Medical Services


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    Evaluation of Flowsheet Documentation in the Electronic Health Record for Residence, Living Situation, and Living Conditions

    • Tamara J. Winden ;
    • Elizabeth S. Chen ;
    • Yan Wang ;
    • Karen A. Monsen ;
    • Genevieve B. Melton

    Evaluation of Flowsheet Documentation in the Electronic Health Record for Residence, Living Situation, and Living Conditions


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    CHCi – A Dynamic Data Platform for Clinical Data Capture and Use

    • Danny T. Wu ;
    • Kai Zheng ;
    • David J. Bradley

    CHCi – A Dynamic Data Platform for Clinical Data Capture and Use


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    A Deep Learning Approach to Examine Ischemic ST Changes in Ambulatory ECG Recordings

    • Ran Xiao ;
    • Yuan Xu ;
    • Michele Pelter ;
    • David Mortara ;
    • Xiao Hu

    A Deep Learning Approach to Examine Ischemic ST Changes in Ambulatory ECG Recordings


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    Application of Data Provenance in Healthcare Analytics Software: Information Visualisation of User Activities

    • Shen Xu ;
    • Toby Rogers ;
    • Elliot Fairweather ;
    • Anthony Glenn ;
    • James Curran ;
    • Vasa Curcin

    Application of Data Provenance in Healthcare Analytics Software: Information Visualisation of User Activities


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    A Crowdsourcing Framework for Medical Data Sets

    • Cheng Ye ;
    • Joseph Coco ;
    • Bradley Malin ;
    • Thomas A. Lasko ;
    • Laurie Novak ;
    • Joshua C. Denny ;
    • Yevgeniy Vorobeychik ;
    • Chen Hajaj ;
    • Anna Epishova ;
    • Henry Bogardus ;
    • Daniel Fabbri

    A Crowdsourcing Framework for Medical Data Sets


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    Adapting Word Embeddings from Multiple Domains to Symptom Recognition from Psychiatric Notes

    • Yaoyun Zhang ;
    • HEE-JIN LEE ;
    • Jingqi Wang ;
    • Trevor Cohen ;
    • Kirk Roberts ;
    • Hua Xu

    Adapting Word Embeddings from Multiple Domains to Symptom Recognition from Psychiatric Notes


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    Identifying Diagnostic Paths for Undifferentiated Abdominal Pain from Electronic Health Record Data

    • Yiye Zhang ;
    • Rema Padman ;
    • Paul Epner ;
    • Victoria Bauer ;
    • Anthony E. Solomonides ;
    • Goutham Rao

    Identifying Diagnostic Paths for Undifferentiated Abdominal Pain from Electronic Health Record Data


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    Using a Bedside Interactive Technology to Solicit and Record Pediatric Pain Reassessments: Parent and Nursing Perspectives on a Novel Workflow

    • Raniah Aldekhyyel ;
    • Genevieve B. Melton ;
    • Gretchen Hultman ;
    • Michael B. Pitt

    Using a Bedside Interactive Technology to Solicit and Record Pediatric Pain Reassessments: Parent and Nursing Perspectives on a Novel Workflow


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    Predicting Mortality in Diabetic ICU Patients Using Machine Learning and Severity Indices

    • Rajsavi Anand ;
    • Paul Stey ;
    • Sukrit Jain ;
    • Dustin R. Biron ;
    • Harikrashna B. Bhatt ;
    • Kristina Monteiro ;
    • Edward Feller ;
    • Megan Ranney ;
    • Indra N. Sarkar ;
    • Elizabeth S. Chen

    Predicting Mortality in Diabetic ICU Patients Using Machine Learning and Severity Indices


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    The Data Gap in the EHR for Clinical Research Eligibility Screening

    • Alex Butler ;
    • Wei Wei ;
    • Chi Yuan ;
    • Tian Kang ;
    • Yuqi Si ;
    • Chunhua Weng

    The Data Gap in the EHR for Clinical Research Eligibility Screening


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    Prototype of a Standards-Based EHR and Genetic Test Reporting Tool Coupled with HL7-Compliant Infobuttons

    • Jacob K. Crump ;
    • Guilherme Del Fiol ;
    • Marc S. Williams ;
    • Robert R. Freimuth

    Prototype of a Standards-Based EHR and Genetic Test Reporting Tool Coupled with HL7-Compliant Infobuttons


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    Emergency Department Clinician Perspectives on the Data Availability to Implement Clinical Decision Support Tools for Five Clinical Practice Guidelines

    • Brian J. Douthit ;
    • Rachel Richesson

    Emergency Department Clinician Perspectives on the Data Availability to Implement Clinical Decision Support Tools for Five Clinical Practice Guidelines


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    Trend Analysis of Aggregate Outcomes in Complex Health Survey Data

    • Wesley M. Durand ;
    • Paul Stey ;
    • Elizabeth S. Chen ;
    • Indra N. Sarkar

    Trend Analysis of Aggregate Outcomes in Complex Health Survey Data


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    Predicting Neonatal Encephalopathy From Maternal Data in Electronic Medical Records

    • Thomas Li ;
    • Cheng Gao ;
    • Chao Yan ;
    • Sarah Osmundson ;
    • Bradley Malin ;
    • You Chen

    Predicting Neonatal Encephalopathy From Maternal Data in Electronic Medical Records


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    i2b2 implemented over SMART-on-FHIR

    • Nicolas Paris ;
    • Michael Mendis ;
    • Christel DANIEL ;
    • Shawn N. Murphy ;
    • Xavier Tannier ;
    • Pierre Zweigenbaum

    i2b2 implemented over SMART-on-FHIR


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    Characterizing Functional Health Status of Surgical Patients in Clinical Notes

    • Steven J. Skube ;
    • Elizabeth A. Lindemann ;
    • Elliot G. Arsoniadis ;
    • Mari J. Akre ;
    • Elizabeth C. Wick ;
    • Genevieve B. Melton

    Characterizing Functional Health Status of Surgical Patients in Clinical Notes


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    A novel representation of vaccine efficacy trial datasets for use in computer simulation of vaccination policy

    • Mohammadamin Tajgardoon ;
    • Michael M. Wagner ;
    • Shyam Visweswaran ;
    • Richard K. Zimmerman

    A novel representation of vaccine efficacy trial datasets for use in computer simulation of vaccination policy


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