Machine learning prediction of conduct problems in children using the longitudinal ABCD study.

Background: Children with conduct problems are at elevated risk for negative psychosocial, educational, and behavioral outcomes. Identifying at‐risk children can aid in providing timely intervention and prevention, ultimately improving their long‐term outcomes. There is a need to develop screening t...

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Publicado en:	Journal of Child Psychology & Psychiatry Vol. 67; no. 3; pp. 390 - 400
Autores principales:	Berluti, Kathryn, Amormino, Paige, Potter, Alexandra, Wshah, Safwan, Marsh, Abigail
Formato:	Artículo
Publicado:	Wiley-Blackwell Mar2026
Materias:	Elementary schools Behavior disorders in children Prediction models Receiver operating characteristic curves Descriptive statistics Child Behavior Checklist Research Machine learning Oppositional defiant disorder in children
Acceso en línea:	Ver este registro en EBSCOhost