Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone–based survey when cities and towns are under quarantine

We propose the use of a machine learning algorithm to improve possible COVID-19 case identification more quickly using a mobile phone–based web survey. This method could reduce the spread of the virus in susceptible populations under quarantine.

Detalles Bibliográficos
Autores principales: Srinivasa Rao, Arni S. R., Vazquez, Jose A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200852/
https://www.ncbi.nlm.nih.gov/pubmed/32122430
http://dx.doi.org/10.1017/ice.2020.61

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200852/
https://www.ncbi.nlm.nih.gov/pubmed/32122430
http://dx.doi.org/10.1017/ice.2020.61

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