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Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study

Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study

Tsai integrated the National Health and Nutrition Examination Survey public database in the United States and the MAJOR database in Taiwan, China, and established the HOMA-IR ML (XGBoost) prediction model for adults in the two regions. The AUC reached 0.87, the important feature spectrum revealed by SHAP analysis was similar to our results, confirming the determinative roles of factors such as BMI, FBG,TG, HDL-C, and sex [14].

Ting Peng, Rujia Miao, Hao Xiong, Yanhui Lin, Duzhen Fan, Jiayi Ren, Jiangang Wang, Yuan Li, Jianwen Chen

JMIR Med Inform 2025;13:e72238