Predicting Depression Onset in Young People Based on Clinical, Cognitive, Environmental, and Neurobiological Data

Adolescent onset of depression is associated with long-lasting negative consequences. Identifying adolescents at risk for developing depression would enable the monitoring of risk factors and the development of early intervention strategies. Using machine learning to combine several risk factors from multiple modalities might allow prediction of depression onset at the individual level.A subsample of a multisite longitudinal study in...