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Volumn 39, Issue 1, 2017, Pages 1-11

Suicide detection in Chile: Proposing a predictive model for suicide risk in a clinical sample of patients with mood disorders

Author keywords

Data mining; Mood disorders; Suicide

Indexed keywords

ACCURACY; ADJUSTMENT DISORDER; ADOLESCENT; ADULT; AGED; ANXIETY DISORDER; APGAR SCORE; ARTICLE; BIPOLAR DISORDER; CHILE; DATA MINING; DIAGNOSTIC TEST ACCURACY STUDY; DYSTHYMIA; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MAJOR DEPRESSION; MALE; MENTAL HEALTH; MIDDLE AGED; MIXED MANIA AND DEPRESSION; MULTICENTER STUDY; PSYCHOLOGICAL MODEL; QUESTIONNAIRE; RISK; SENSITIVITY AND SPECIFICITY; SUICIDAL BEHAVIOR; SUICIDAL IDEATION; SUICIDE ATTEMPT; SURVIVAL PREDICTION; WELLBEING; YOUNG ADULT; COMPLICATION; MENTAL DISEASE; PSYCHOLOGY; RISK FACTOR; SOCIOECONOMICS; SUICIDE; THEORETICAL MODEL;

EID: 85014741243     PISSN: 15164446     EISSN: None     Source Type: Journal    
DOI: 10.1590/1516-4446-2015-1877     Document Type: Article
Times cited : (41)

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