Hybrid Ensemble and Imbalance-Aware Machine Learning for Multi-Class Cardiovascular Disease Severity Prediction
Cardiovascular disease prediction using structured clinical data is commonly formulated as a binary classification problem, while multi-class prediction is more challenging because of overlapping clinical characteristics and class imbalance. This study presents a hybrid ensemble and imbalance-aware machine-learning fra...