A comprehensive study of named entity recognition in Chinese clinical text

Journal of the American Medical Informatics Association

Volumn 21, Issue 5, 2014, Pages 808-814

  Lei, Jianbo ^a,b   Tang, Buzhou ^b,c   Lu, Xueqin ^a   Gao, Kaihua ^a   Jiang, Min ^b   Xu, Hua ^b  

^a PEKING UNIVERSITY   (China)

^b UNIVERSITY OF TEXAS   (United States)

^c HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; BOOK; CHINA; CHINESE; ENTROPY; MACHINE LEARNING; NAMED ENTITY RECOGNITION; NATURAL LANGUAGE PROCESSING; RECALL; SUPPORT VECTOR MACHINE;

CHINESE CLINIC NOTES; MACHINE LEARNING ALGORITHM; MEDICAL CONCEPT RECOGNITION; NATURAL LANGUAGE PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHINA; ELECTRONIC HEALTH RECORDS; HUMANS; NATURAL LANGUAGE PROCESSING; PATIENT ADMISSION; SUPPORT VECTOR MACHINES;

EID: 84906308068     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-002381     Document Type: Article

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