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Sirichan Vesarachsart

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Open access Aug 2026

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.

Benjamas Tulyanitikul, Sirichan Vesarachsart, Parattakorn Kamlangdee et al. · 0 citations

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