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Improving explainability of deep neural network-based electrocardiogram interpretation using variational auto-encoders( )
AIMS: Deep neural networks (DNNs) perform excellently in interpreting electrocardiograms (ECGs), both for conventional ECG interpretation and for novel applications such as detection of reduced ejection fraction (EF). Despite these promising developments, implementation is hampered by the lack of tr...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707974/ https://www.ncbi.nlm.nih.gov/pubmed/36712164 http://dx.doi.org/10.1093/ehjdh/ztac038 |