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This paper presents an efficient detection and classification algorithm of multiple-class myocardial infarction (MI) (i.e., prior and acute), which is one of mortality diseases for humans. However, feature extraction is one of the challenges in MI classification as the extracted features may not be optimized for class separation. To this end, we propose a new deep feature learning based MI detection...
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