Parattakorn Kamlangdee

Hybrid Ensemble and Imbalance-Aware Machine Learning for Multi-Class Cardiovascular Disease Severity Prediction

The results demonstrate the potential of imbalance-aware heterogeneous ensembles for robust multi-class heart-disease prediction, while the proposed confidence-aware voting strategy provides an explicit mechanism for resolving classifier disagreement.