MultiCardioFusionNet: A multimodal fusion model for predicting coronary heart disease integrating time-domain, frequency-domain, and clinical information.
Coronary heart disease (CHD) remains a leading cause of morbidity and mortality worldwide, highlighting the need for accurate, accessible, and cost-effective diagnostic approaches. This study proposes MultiCardioFusionNet, a multimodal deep learning framework that integrates electrocardiographic (ECG) signals and clini...