Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy

Infections such as COVID-19 are affecting the entire world and measures such as social distancing can be done so that the contact among people is reduced. IoT devices usage keeps on increasing every day thereby connecting the environments physically. Among the current technologies, machine learning...

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Detalles Bibliográficos
Autores principales: Deepa, N., Sathya Priya, J., Devi, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942654/
https://www.ncbi.nlm.nih.gov/pubmed/35345579
http://dx.doi.org/10.1016/j.matpr.2022.03.345

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942654/
https://www.ncbi.nlm.nih.gov/pubmed/35345579
http://dx.doi.org/10.1016/j.matpr.2022.03.345

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