Open AccessNatural Language Processing to Improve Prediction of Incident Atrial Fibrillation Using Electronic Health Records
Author(s) -
Jeffrey M. Ashburner,
Yuchiao Chang,
Xin Wang,
Shaan Khurshid,
Christopher D. Anderson,
Kumar Dahal,
Dana Weisenfeld,
Tianrun Cai,
Katherine P. Liao,
Kavishwar B. Wagholikar,
Shawn N. Murphy,
Steven J. Atlas,
Steven A. Lubitz,
Daniel E. Singer
Publication year - 2022
Publication title -
journal of the american heart association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.494
H-Index - 85
ISSN - 2047-9980
DOI - 10.1161/jaha.122.026014
Subject(s) - medicine , atrial fibrillation , cohort , incidence (geometry) , epidemiology , statistic , cohort study , electronic health record , health records , artificial intelligence , pediatrics , health care , statistics , computer science , physics , mathematics , optics , economics , economic growth
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