Identification of influence factors in overweight population through an interpretable risk model based on machine learning: a large retrospective cohort.

The construction of an overweight risk model using machine learning may currently be the best approach. Moreover, CatBoost may be the best machine learning method. Furthermore, combining Shapley's additive explanation and machine learning methods can be effective in identifying disease risk factors for prevention and control.