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Explainable AI for Heart Disease Diagnosis by Amayita Perez is a document available to read on EtoBox.

This document presents a novel ECG-based approach for automatic heart disease diagnosis using explainable AI techniques, specifically the 3DFMMecg model. The study demonstrates that this method achieves high diagnostic accuracy and interpretability, outperforming existing feature-based methods on the PTB-XL+ dataset while maintaining performance with fewer leads. The results highlight the potential for integrating this approach into clinical practice, enhancing trust and usability for healthcare professiona

Author

Amayita Perez

Language

EN