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BMC Public Health· 2025Q1

Leveraging XGBoost and explainable AI for accurate prediction of type 2 diabetes

Zahra Rafie, Moslem Sedaghat Talab, Behrooz Ebrahim Zadeh Koor, Ali Garavand et al.

Short summary

XGBoost achieved 96.07% accuracy and 99.29% AUC for type 2 diabetes prediction in an Iranian cohort, with SHAP identifying fasting blood sugar, fatty liver, and energy drink consumption as key predictors.

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