S. Effati

Evaluation and Comparison of Machine Learning Methods for Type 2 Diabetes Classification and Associated Factors

XGBoost was the most effective algorithm for identifying individuals with T2DM and provided insights into the relative importance of clinical features, supporting more precise classification, however, results should be interpreted with caution until validated in independent cohorts.