A. Ghadiri-anari

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

Conventional machine learning models using baseline data are insufficient for predicting diabetes incidence over long-term horizons, and the development of dynamic models that incorporate temporal changes in variables and complex pathophysiological interactions is essential for acceptable accuracy in long-term predicti...