Journal of Health Informatics and Statistics
Prediction of Depressive Experience Among Korean Adolescents: A Comparative Study of Machine Learning Models
Objectives: This study aimed to develop and compare machine learning models for predicting depressive experience among Korean adolescents and to identify key predictors associated with depressive experience.Methods: Data from 54,152 adolescents who participated in the 2025 Korea Youth Risk Behavior Web-based Survey were analyzed. Five machine learning algorithms—logistic regression, random forest, XGBoost, LightGBM, and CatBoost—were developed and compared. Model performance was evaluated using discrimination and c …