A two-stage deep learning framework for predicting the onset of Atrial fibrillation using RR interval-based embeddings
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Atrial fibrillation (AF) is the most common form of arrhythmia, significantly increasing the risk of stroke, heart failure, and other cardiovascular complications. Although AF detection methods have achieved accuracies exceeding 98%, AF onset prediction remain... ...
