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Support vector regression for predicting COVID-19 cases
European Journal of Molecular and Clinical Medicine ; 7(3):4882-4893, 2020.
Article in English | Scopus | ID: covidwho-1001386
ABSTRACT
This study uses the Machine Learning models to forecast the number of upcoming cases affected by COVID-19. Particularly two models for forecasting such as Support Vector Regression and Linear regression (LR)are used in this study to predict future number of cases of COVID-19. Number of upcoming covid-19 cases is going to be happen and deaths are predicted by using these two models for the next 365 days. The predictions are done for India and the worldwide. Between these two SVR is performing well compared with Linear Regression. © 2020 Ubiquity Press. All rights reserved.
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Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: European Journal of Molecular and Clinical Medicine Year: 2020 Document Type: Article

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Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: European Journal of Molecular and Clinical Medicine Year: 2020 Document Type: Article