Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning - Walsh CG, Ribeiro JD, Franklin JC.

BACKGROUND: Adolescents have high rates of nonfatal suicide attempts, but clinically practical risk prediction remains a challenge. Screening can be time consuming to implement at scale, if it is done at all. Computational algorithms may predict suicide ri...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Age: Adolescents Source Type: news