F. Yagin

Machine learning approaches for diabetes prediction: A comparative analysis of classification models

Early and accurate identification of individuals at risk for type 2 diabetes mellitus (T2DM) is a clinical priority given the global scale of the epidemic. Machine learning (ML) methods offer a data-driven complement to conventional screening approaches; however, systematic comparisons of multiple classifiers under ide...