Deep neural networks learn by using human-selected electrocardiogram features and novel features

AIMS: We sought to investigate whether artificial intelligence (AI) and specifically deep neural networks (NNs) for electrocardiogram (ECG) signal analysis can be explained using human-selected features. We also sought to quantify such explainability and test if the AI model learns features that are...

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Detalles Bibliográficos
Autores principales: Attia, Zachi I, Lerman, Gilad, Friedman, Paul A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707937/
https://www.ncbi.nlm.nih.gov/pubmed/36713603
http://dx.doi.org/10.1093/ehjdh/ztab060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707937/
https://www.ncbi.nlm.nih.gov/pubmed/36713603
http://dx.doi.org/10.1093/ehjdh/ztab060

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