An Integrated Predictive, Explainable, and Causal Machine Learning Framework for Early Detection of Type 2 Diabetes with Uncertainty and Fairness Assessment
Early detection of Type 2 Diabetes Mellitus (T2DM remains a critical challenge in preventive healthcare due to the complex interplay of clinical, demographic, and lifestyle factors. This study proposes an Integrated Predictive, Explainable, and Causal Machine Learning Framework for early detection of Type 2 diabetes, i...