A Hybrid Bayesian, Deterministic and Uncertainty Framework for Type 2 Diabetes Risk Assessment and Decision Support
The early and accurate diagnosis of Type 2 Diabetes (T2D) is crucial for effective management and prevention of complications. This study explores a novel approach to T2D diagnosis by integrating Bayesian, uncertain, and deterministic strategies. The proposed methodology leverages Bayesian inference to handle uncertain...