NATURAL LANGUAGE PROCESSING IMPROVES PHENOTYPIC ACCURACY IN...

Journal of the American College of Cardiology 2014 / 04 Vol. 63; Iss. 12

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

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, Karls
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Volume:
63
Language:
english
Journal:
Journal of the American College of Cardiology
DOI:
10.1016/S0735-1097(14)61359-0
Date:
April, 2014
File:
PDF, 180 KB
english, 2014
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