Neurocognitive and Social Cognitive Predictors of Adolescent Major Depressive Disorder: A Machine Learning Classification Study

Yesim Saglam, Seyma Takir, Cagatay Ermis, Celal Yesilkaya, Gul Karacetin, Hatice Kose, Department of Child and Adolescent Psychiatry, University of Health Sciences, Bakirkoy Prof Dr Mazhar Osman Mental Health Training and Research Hospital, Department of Artificial Intelligence and Data Engineering, Istanbul Technical University, Department of Child Psychiatry, Queen Silvia Children, s Hospital, Department of Child and Adolescent Psychiatry, Konya Ereğli State Hospital

Clinical Child Psychology and Psychiatry

Published online on February 02, 2026

Abstract

Clinical Child Psychology and Psychiatry, Ahead of Print.
Background/aimThis study aimed to investigate whether machine learning (ML) algorithms could accurately differentiate adolescents with Major Depressive Disorder (MDD) from healthy controls (HC) based on neurocognitive data.MethodAdolescents diagnosed with ...