Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria
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DOI: 10.48550/arxiv.2211.01738
Abstract: Despite their remarkable performance, deep neural networks remain unadopted in clinical practice, which is considered to be partially due to their lack of explainability. In this work, we apply explainable attribution methods to a pre-trained… read more here.
Keywords: classification; analysis deep; relevance scores; features similar ... See more keywords