Machine learning for suicide risk prediction in children and adolescents with electronic health records - Su C, Aseltine R, Doshi R, Chen K, Rogers SC, Wang F.

Accurate prediction of suicide risk among children and adolescents within an actionable time frame is an important but challenging task. Very few studies have comprehensively considered the clinical risk factors available to produce quantifiable risk score...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Age: Adolescents Source Type: news