Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach

General Hospital Psychiatry

Volumn 47, Issue , 2017, Pages 20-28

  Hettige, Nuwan C ^a,b   Nguyen, Thai Binh ^a   Yuan, Chen ^a   Rajakulendran, Thanara ^a   Baddour, Jermeen ^a   Bhagwat, Nikhil ^f   Bani Fatemi, Ali ^a,b   Voineskos, Aristotle N ^b,c   Mallar Chakravarty, M ^d,e   De Luca, Vincenzo ^a,b,c  

^a CENTRE FOR ADDICTION AND MENTAL HEALTH   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

^d DOUGLAS MENTAL HEALTH UNIVERSITY INSTITUTE   (Canada)

^e MCGILL UNIVERSITY   (Canada)

^f UNIVERSITY OF TORONTO   (Canada)

Author keywords

Childhood trauma; Machine learning; Migration; Schizophrenia; Suicide

Indexed keywords

ADULT; ALCOHOL ABUSE; ARTICLE; BECK SUICIDE IDEATION SCALE; BEHAVIOR DISORDER ASSESSMENT; CHILDHOOD TRAUMA QUESTIONNAIRE; CLINICAL FEATURE; COLUMBIA SUICIDE SEVERITY RATING SCALE; CROSS-SECTIONAL STUDY; DISEASE CLASSIFICATION; ELASTIC TISSUE; EMOTIONAL ABUSE; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICAL RECORD REVIEW; PHYSICAL ABUSE; PREDICTIVE VALUE; QUESTIONNAIRE; RANDOM FOREST; RISK FACTOR; SCHIZOPHRENIA SPECTRUM DISORDER; SENSITIVITY AND SPECIFICITY; SEXUAL ABUSE; SOCIAL CLASS; STRUCTURED CLINICAL INTERVIEW FOR DSM DISORDERS; SUICIDE ATTEMPT; SUPPORT VECTOR MACHINE; CLASSIFICATION; MACHINE LEARNING; MIDDLE AGED; SCHIZOPHRENIA; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

ADULT; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; MACHINE LEARNING; MALE; MIDDLE AGED; MODELS, STATISTICAL; RISK FACTORS; SCHIZOPHRENIA; SUICIDE, ATTEMPTED;

EID: 85018877440     PISSN: 01638343     EISSN: 18737714     Source Type: Journal    
DOI: 10.1016/j.genhosppsych.2017.03.001     Document Type: Article

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