Enhancing Transparency in Cardiovascular Disease Prediction Using CNN-MLP and Explainable AI Framework for Sustainable Health Care
This study aims to provide a multimodal, comprehensive, effective, and clinically interpretable AI model for heart disease prediction that integrates Electrocardiogram (ECG) and Electronic Health Record (EHR) data, identifying the most informative features by assigning relevance scores.