NATURAL LANGUAGE PROCESSING IMPROVES PHENOTYPIC ACCURACY IN AN ELECTRONIC MEDICAL RECORD COHORT OF TYPE 2 DIABETES AND CARDIOVASCULAR DISEASE

✍ Scribed by Kumar, Vishesh; Liao, Katherine; Cheng, Su-Chun; Yu, Sheng; Kartoun, Uri; Brettman, Ari; Gainer, Vivian; Cagan, Andrew; Murphy, Shawn; Savova, Guergana; Chen, Pei; Szolovits, Peter; Xia, Zongqi; Karlson, Elizabeth; Plenge, Robert; Ananthakrishnan, Ashwin; Churchill, Susanne; Cai, Tianxi; Kohane, Isaac; Shaw, Stanley

• Book ID: 122335147
• Publisher: Elsevier Science
• Year: 2014
• Tongue: English
• Weight: 180 KB
• Volume: 63
• Category: Article
• ISSN: 1558-3597
• DOI: 10.1016/S0735-1097(14)61359-0