A machine learning analysis of risk and protective factors of suicidal thoughts and behaviors in college students - Kirlic N, Akeman E, DeVille DC, Yeh HW, Cosgrove KT, McDermott TJ, Touthang J, Clausen A, Paulus MP, Aupperle RL.

OBJECTIVE: To identify robust and reproducible factors associated with suicidal thoughts and behaviors (STBs) in college students. METHODS: 356 first-year university students completed a large battery of demographic and clinically-relevant self-rep...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Age: Adolescents Source Type: news