Evaluation of a Prediction Model for the Development of Atrial Fibrillation in a Repository of Electronic Medical Records

Volume: 1, Issue: 9, Pages: 1007 - 1007
Published: Dec 1, 2016
Abstract
Atrial fibrillation (AF) contributes to substantial morbidity, mortality, and health care expenditures. Accurate prediction of incident AF would enhance AF management and potentially improve patient outcomes.To validate the AF risk prediction model originally developed by the Cohorts for Heart and Aging Research in Genomic Epidemiology-Atrial Fibrillation (CHARGE-AF) investigators using a large repository of electronic medical records (EMRs).In...
Paper Details
Title
Evaluation of a Prediction Model for the Development of Atrial Fibrillation in a Repository of Electronic Medical Records
Published Date
Dec 1, 2016
Volume
1
Issue
9
Pages
1007 - 1007
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