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F. Yagin

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Open access 2026

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

These findings support the potential value of ensemble tree-based methods as a component of non-invasive diabetes risk-screening tools and highlight the continued relevance of glycaemic variables and anthropometric measures in T2DM risk stratification.

F. Yagin · Medical Science · 0 citations