Machine learning–based binary classification of elevated HbA1c (≥6.5 %) for risk assessment

The greatest predictor was age, which was positively correlated with elevated HbA1c levels, whereas HDL had a protective impact. The addition of VitaminD3, VDL, and GPT implies that indicators of liver and metabolic function have a major role in the variability of HbA1c. These results demonstrate how normal clinical and demographic data may be incorporated into predictive models for early diabetes risk assessment, enabling more individualized medical care and bettering patient outcomes.