Psychiatric stressor recognition from clinical notes to reveal association with suicide

Health Informatics Journal

Volumn 25, Issue 4, 2019, Pages 1846-1862

  Zhang, Yaoyun ^a   Zhang, Olivia R ^b   Li, Rui ^a   Flores, Aaron ^c   Selek, Salih ^a   Zhang, Xiang Y ^a   Xu, Hua ^a  

^a UNIVERSITY OF TEXAS   (United States)

^b Saint John School   (United States)

^c BOWLING GREEN STATE UNIVERSITY   (United States)

Author keywords

electronic health records; natural language processing; psychiatric stressor extraction; statistical association; suicide behavior

Indexed keywords

CHI SQUARE DISTRIBUTION; CLASSIFICATION; DIAGNOSIS; DOCUMENTATION; ELECTRONIC HEALTH RECORD; HUMAN; MACHINE LEARNING; MENTAL STRESS; NATURAL LANGUAGE PROCESSING; PROCEDURES; PSYCHOLOGY; RISK FACTOR; SUICIDE;

CHI-SQUARE DISTRIBUTION; DOCUMENTATION; ELECTRONIC HEALTH RECORDS; HUMANS; MACHINE LEARNING; NATURAL LANGUAGE PROCESSING; RISK FACTORS; STRESS, PSYCHOLOGICAL; SUICIDE;

EID: 85058958504     PISSN: 14604582     EISSN: 17412811     Source Type: Journal    
DOI: 10.1177/1460458218796598     Document Type: Article

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