Multimodal Deep Learning for Structural Heart Disease Prediction from ECG and Clinical Data

2026-02-24 cardiovascular medicine Title + abstract only

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This research presents multimodal deep learning for structural heart disease prediction. We evaluated multiple deep learning architectures, including TCN, Simple CNN, ResNet1d18, Light transformer and Hybrid model. The models were examined across the three seeds to ensure robustness, and bootstrap confidence interval is used to measure performance differences. TCN consistently outperforms other competing architectures, achieving statistically significant improvements with stable performance acro...

Multimodal Deep Learning for Structural Heart Disease Prediction from ECG and Clinical Data

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