Predicting South Korean adolescents vulnerable to obesity after the COVID-19 pandemic using categorical boosting and shapley additive explanation values: A population-based cross-sectional survey - Byeon, Haewon (Frontiers in pediatrics, 2022)
Keywords: adolescent; CatBoost; COVID-19 pandemic; machine learning; obesity; Pediatrics