Development and External Validation of a Prediction Model to Identify Suicide Attempters in Treatment-Naive Adolescents With Major Depressive Disorder.

Despite including only 11 easily collectible clinical variables, the XGBoost model effectively identifies suicide attempters among untreated adolescent first-visit MDD patients and performs stably in external validation sets. This is beneficial for clinicians to conduct evidence-based suicide prevention efforts.