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

BACKGROUND: Stroke 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 rath...

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Detalles Bibliográficos
Autores principales: Zhao, Yiqing, Fu, Sunyang, Bielinski, Suzette J, Decker, Paul A, Chamberlain, Alanna M, Roger, Veronique L, Liu, Hongfang, Larson, Nicholas B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985804/
https://www.ncbi.nlm.nih.gov/pubmed/33683212
http://dx.doi.org/10.2196/22951

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985804/
https://www.ncbi.nlm.nih.gov/pubmed/33683212
http://dx.doi.org/10.2196/22951

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