A Dual-Tier Explainable Meta-Ensemble Framework for Cardiovascular Risk Prediction using Cross-Dataset ECG-Clinical Fusion
CVDs are still the first cause of death worldwide, therefore, an early prediction system with high accuracy and interpretability is demanded. Although promising performance has been achieved by machine learning (ML) and deep learning (DL) methods, their translation into clinical applications remains limited due to nove...