Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation

Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation

BackgroundStroke is an important clinical outcome in cardiovascular research. However, the ascertainment of incident stroke is typically accomplished via time-consuming manual chart abstraction. Current phenotyping efforts using electronic health records for stroke focus on case ascertainment rather...

Full description

Bibliographic Details
Main Authors: Zhao, Yiqing, Fu, Sunyang, Bielinski, Suzette J, Decker, Paul A, Chamberlain, Alanna M, Roger, Veronique L, Liu, Hongfang, Larson, Nicholas B
Format: Article
Language:English
Published: JMIR Publications 2021-03-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2021/3/e22951

Internet

https://www.jmir.org/2021/3/e22951

Similar Items