Early Prediction of Diabetes based on the Weight Enhanced XGBoost Model of AHP Clinical Guidelines
Aiming at the problems of the traditional machine learning model in the early prediction of diabetes, such as insufficient interpretability, lack of clinical basis, and limited clinical applicability, this paper proposes a clinical interpretable intelligent prediction model that combines analytic hierarchy process (AHP...