Evaluating the high risk groups for suicide: A comparison of logistic regression, support vector machine, decision tree and Artificial Neural network

Iranian Journal of Public Health

Volumn 45, Issue 9, 2016, Pages 1179-1187

  Amini, Payam ^a   Ahmadinia, Hasan ^b   Poorolajal, Jalal ^c   Moqaddasi Amiri, Mohammad ^b  

^a ROYAN INSTITUTE FOR REPRODUCTIVE BIOMEDICINE   (Iran)

^b HAMADAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^c HAMADAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Classification; Decision tree; Logistic regression; Neuralnetworks; Suicide; Support vector machine

Indexed keywords

EID: 84988976141     PISSN: 22516085     EISSN: 22516093     Source Type: Journal    
DOI: None     Document Type: Article

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