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: Colin G. Walsh,
Jessica D. Ribeiro,
Joseph C. Franklin Tags: Original Article Source Type: research
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