Exploratory data mining analysis identifying subgroups of patients with depression who are at high risk for suicide

Journal of Clinical Psychiatry

Volumn 70, Issue 11, 2009, Pages 1495-1500

  Ilgen, Mark A ^a,b   Downing, Karen ^a,b   Zivin, Kara ^a,b   Hoggatt, Katherine J ^a,c   Kim, H Myra ^a,c   Ganoczy, Dara ^a   Austin, Karen L ^a   McCarthy, John F ^a,b   Patel, Jignesh M ^c   Valenstein, Marcia ^a,b  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b UNIVERSITY OF MICHIGAN HEALTH SYSTEM   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AFRICAN AMERICAN; ARTICLE; DECISION TREE; DEPRESSION; FEMALE; HOSPITALIZATION; HUMAN; MAJOR CLINICAL STUDY; MALE; MENTAL DISEASE; MENTAL HOSPITAL; POSTTRAUMATIC STRESS DISORDER; PRIORITY JOURNAL; RACE DIFFERENCE; RISK FACTOR; SEX DIFFERENCE; SOLDIER; SUBSTANCE ABUSE; SUICIDE;

CAUSE OF DEATH; COHORT STUDIES; COMORBIDITY; CROSS-SECTIONAL STUDIES; DATA MINING; DATABASES, FACTUAL; DECISION TREES; DEPRESSIVE DISORDER; DIAGNOSIS, DUAL (PSYCHIATRY); FEMALE; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; MALE; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; RISK FACTORS; SUBSTANCE-RELATED DISORDERS; SUICIDE; SUICIDE, ATTEMPTED; UNITED STATES; VETERANS;

EID: 72849143581     PISSN: 01606689     EISSN: None     Source Type: Journal    
DOI: 10.4088/JCP.08m04795     Document Type: Article

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