B. Kusuma

Explainable Ensemble Learning for Cardiovascular Risk Stratification A Multi-Hospital Stacking Approach with SHAP-Based Clinical Decision Support

This paper presents an explainable stacking ensemble framework for binary heart disease classification and three-tier risk stratification using multi-hospital cardiac data using a novel Dual-Balanced SMOTE strategy that simultaneously addresses class imbalance and gender bias.