Identification of obesity risk factors in 3-12-year-old children and adolescents with prior respiratory tract infections via interpretable machine and deep learning models.

Cross-sectional data from 6509 children and adolescents aged 3-12 years with prior respiratory tract infections in Beijing and Tangshan were fed to 12 machine learning models to predict childhood obesity (versus children with normal weight).