Research Domain Criteria scores estimated through natural language processing are associated with risk for suicide and accidental death

Depression and Anxiety

Volumn 36, Issue 5, 2019, Pages 392-399

  McCoy, Thomas H ^a,b   Pellegrini, Amelia M ^a   Perlis, Roy H ^a,b  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

accidental death; electronic health records; natural language processing; Research Domain Criteria; suicide; survival analysis

Indexed keywords

ACCIDENTAL DEATH; ADULT; AGED; ARTICLE; COHORT ANALYSIS; CONTROLLED STUDY; DOCUMENTATION; ELECTRONIC HEALTH RECORD; FEMALE; FOLLOW UP; HEALTH CARE UTILIZATION; HOSPITAL DISCHARGE; HUMAN; MALE; NATURAL LANGUAGE PROCESSING; PRIORITY JOURNAL; RELIABILITY; RETROSPECTIVE STUDY; RISK FACTOR; SCORING SYSTEM; SUICIDE; BEHAVIOR; DEATH; MIDDLE AGED; RISK; RISK ASSESSMENT; STATISTICS AND NUMERICAL DATA; SURVIVAL ANALYSIS;

ADULT; BEHAVIORAL SYMPTOMS; COHORT STUDIES; DEATH; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; MALE; MIDDLE AGED; NATURAL LANGUAGE PROCESSING; RISK; RISK ASSESSMENT; SUICIDE; SURVIVAL ANALYSIS;

EID: 85060953230     PISSN: 10914269     EISSN: 15206394     Source Type: Journal    
DOI: 10.1002/da.22882     Document Type: Article

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