Generalization challenges in electrocardiogram deep learning: insights from dataset characteristics and attention mechanism

Deep learning's widespread use prompts heightened scrutiny, particularly in the biomedical fields, with a specific focus on model generalizability. This study delves into the influence of training data characteristics on the generalization performance of models, specifically in cardiac abnormality detection.