A rapid review of machine learning approaches for telemedicine in the scope of COVID-19

The COVID-19 pandemic has rapidly spread around the world. The rapid transmission of the virus is a threat that hinders the ability to contain the disease propagation. The pandemic forced widespread conversion of in-person to virtual care delivery through telemedicine. Given this gap, this article a...

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Detalles Bibliográficos
Autores principales: Schünke, Luana Carine, Mello, Blanda, da Costa, Cristiano André, Antunes, Rodolfo Stoffel, Rigo, Sandro José, Ramos, Gabriel de Oliveira, Righi, Rodrigo da Rosa, Scherer, Juliana Nichterwitz, Donida, Bruna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055383/
https://www.ncbi.nlm.nih.gov/pubmed/35659388
http://dx.doi.org/10.1016/j.artmed.2022.102312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055383/
https://www.ncbi.nlm.nih.gov/pubmed/35659388
http://dx.doi.org/10.1016/j.artmed.2022.102312

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