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.
Search on Google
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
Similar
MEDLINE
...
LILACS
LIS