S. Namayandeh

Evaluating the Predictive Performance of Metabolic Biomarkers for 20- Year Incidence Diabetes in the Yazd Healthy Heart Cohort: A Machine Learning Analysis

Background: Type 2 diabetes is a major global health challenge, necessitating the development of accurate prediction models for early intervention. This study aimed to assess the performance of machine learning models in predicting the long-term incidence of diabetes and to identify predictive metabolic biomarkers base...