Enhancing Heart Disease Prediction through Multi-Modal Data Integration: A Hybrid CNN-GA Approach
—Heart disease is among the most prevalent causes of mortality, and arrhythmia contributes a large segment; therefore, cost-effective, accurate, non-invasive diagnostic methodologies should be used. Structured clinical data-driven prediction models cannot fully capture the complex temporal–frequency features of Electro...