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

• Váldodahkkit: Zhao, Yiqing (Dahkki), Fu, Sunyang (Dahkki), Bielinski, Suzette J (Dahkki), Decker, Paul A (Dahkki), Chamberlain, Alanna M (Dahkki), Roger, Veronique L (Dahkki), Liu, Hongfang (Dahkki), Larson, Nicholas B (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: JMIR Publications, 2021-03-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

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...