An Integrated Multi-Algorithm Computational Intelligence Framework for Cardiac Risk Prediction Through Hierarchical Model Fusion and Explainable AI
Empirical results show that the composite model architecture consistently outperforms individual classifiers by using the minimal possible rate of overlooked positive diagnosis (one), which proves to be very critical in clinical screening situations where negative diagnosis if overlooked has life-threatening consequenc...