AIMC Journal:
Child and adolescent psychiatry and mental health

Showing 1 to 2 of 2 articles

Integrating neurobiological markers to prospectively predict adolescent non-suicidal self-injury and suicide attempts: a machine learning approach.

Child and adolescent psychiatry and mental health
BACKGROUND: Suicide attempts (SA) and non-suicidal self-injury (NSSI) are closely related phenomena, both common in adolescent clinical samples. This study examined whether neurobiological markers could enhance the prediction of SA and NSSI over a 2-...

Less is more? A hybrid machine learning and psychometric approach to identifying clinically relevant psychopathology in Chinese youth using the Child Behaviour Checklist.

Child and adolescent psychiatry and mental health
OBJECTIVE: Screening for psychiatric risk in youth at the population level is often constrained by resource limitations and lengthy assessment tools. This study aimed to develop a reduced, psychometrically robust subset of Child Behavior Checklist (C...