A hybrid deep learning algorithm for ECG-based heart disease classification
Automated electrocardiogram (ECG) classification for heart disease detection encounters significant challenges, such as patient variability, inter-patient differences in heart signals, and data leakage when information from the same patient is present in both training and test sets. To mitigate these challenges, a Hybr...