Investigating explainable arrhythmia classification using class-specific ensemble model from segmented ECG signals
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Accurate arrhythmia classification from short clinical ECGs is hard to achieve and explain. Prior studies are often single-lead, use uniform model fusion, or report point estimates without uncertainty. To address this, we propose a novel class-specific weighte... ...
