A systematic review of machine learning and explainable artificial intelligence for electrocardiogram based cardiovascular disease prediction
This review critically analyzes recent ECG-based ML/DL models for CVD prediction, with particular attention to model performance, dataset characteristics, preprocessing strategies, and the integration of explainable artificial intelligence (XAI).
Sabit Ahamed Preanto, Md. Hasan Imam Bijoy, Tapon Paul et al.
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