Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning

ConclusionsMachine learning on longitudinal clinical data may provide a scalable approach to broaden screening for risk of nonfatal suicide attempts in adolescents.
Source: Journal of Child Psychology and Psychiatry - Category: Psychiatry Authors: Tags: Original Article Source Type: research