Psychiatric symptom recognition without labeled data using distributional representations of phrases and on-line knowledge

Journal of Biomedical Informatics

Volumn 75, Issue , 2017, Pages S129-S137

  Zhang, Yaoyun ^a   Zhang, Olivia ^b   Wu, Yonghui ^a   Lee, Hee Jin ^a   Xu, Jun ^a   Xu, Hua ^a   Roberts, Kirk ^a  

^a UNIVERSITY OF TEXAS   (United States)

^b Saint John School   (United States)

Author keywords

Distributional representation; Online knowledge; Psychiatric symptom recognition; Unsupervised learning

Indexed keywords

CHARACTER RECOGNITION; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; PATIENT TREATMENT; SEMANTICS; UNSUPERVISED LEARNING;

AUTOMATED APPROACH; DISTRIBUTIONAL REPRESENTATION; EXTERNAL KNOWLEDGE; ONLINE KNOWLEDGE; ONLINE REPOSITORIES; PSYCHIATRIC SYMPTOM RECOGNITION; REPRESENTATION MODEL; SEMANTIC SIMILARITY;

KNOWLEDGE MANAGEMENT;

ALGORITHM; ARTICLE; CLINICAL DATA REPOSITORY; CONCEPTUAL FRAMEWORK; CONSUMER; EXTRACTION; HEALTH CARE DISTRIBUTION; INFORMATION DISSEMINATION; INFORMATION PROCESSING; INFORMATION SYSTEM; KNOWLEDGE BASE; MEDICAL TERMINOLOGY; MENTAL DISEASE; ONLINE SYSTEM; PRIORITY JOURNAL; UNSUPERVISED MACHINE LEARNING; HUMAN; PSYCHOLOGY; SEMANTICS;

ALGORITHMS; HUMANS; MENTAL DISORDERS; SEMANTICS;

EID: 85021787795     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2017.06.014     Document Type: Article

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