A python based support vector regression model for prediction of COVID19 cases in India

The proposed work utilizes support vector regression model to predict the number of total number of deaths, recovered cases, cumulative number of confirmed cases and number of daily cases. The data is collected for the time period of 1(st) March,2020 to 30(th) April,2020 (61 Days). The total number...

Descripción completa

Detalles Bibliográficos
Autores principales: Parbat, Debanjan, Chakraborty, Monisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7261465/
https://www.ncbi.nlm.nih.gov/pubmed/32834576
http://dx.doi.org/10.1016/j.chaos.2020.109942

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7261465/
https://www.ncbi.nlm.nih.gov/pubmed/32834576
http://dx.doi.org/10.1016/j.chaos.2020.109942

Ejemplares similares