Deep learning and the electrocardiogram: review of the current state-of-the-art

In the recent decade, deep learning, a subset of artificial intelligence and machine learning, has been used to identify patterns in big healthcare datasets for disease phenotyping, event predictions, and complex decision making. Public datasets for electrocardiograms (ECGs) have existed since the 1...

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Detalles Bibliográficos
Autores principales: Somani, Sulaiman, Russak, Adam J, Richter, Felix, Zhao, Shan, Vaid, Akhil, Chaudhry, Fayzan, De Freitas, Jessica K, Naik, Nidhi, Miotto, Riccardo, Nadkarni, Girish N, Narula, Jagat, Argulian, Edgar, Glicksberg, Benjamin S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Reviews
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350862/
https://www.ncbi.nlm.nih.gov/pubmed/33564873
http://dx.doi.org/10.1093/europace/euaa377

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350862/
https://www.ncbi.nlm.nih.gov/pubmed/33564873
http://dx.doi.org/10.1093/europace/euaa377

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