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.