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Inherently explainable deep neural network-based interpretation of electrocardiograms using variational auto-encoders

2022-01-05

Abstract excerpt

<h4>Background</h4> Deep neural networks (DNNs) show excellent performance in interpreting electrocardiograms (ECGs), both for conventional ECG interpretation and for novel applications such as detection of reduced ejection fraction and prediction of one-year mortality. Despite these promising developments, clinical implementation is severely hampered by the lack of trustworthy techniques to explain the decisions...

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Literature Corpus work
4545db9e-3d81-55b3-9c0d-4d699cbc1eb7
DOI
10.1101/2022.01.04.22268759
Open publication

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Inherently explainable deep neural network-based interpretation of electrocardiograms using variational auto-encodersDOI 10.1101/2022.01.04.22268759
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