Analytical Review Analysis for Screening COVID-19 Disease

Abstract

World have suffered a lot due to international pandemic caused by CORONA virus and declared as COVID-19 by world health organization (WHO) in April 2020. Subsequently various analysis have been performed to find of the cause, cure and precautionary measures against it. A lot casualty is also reported meanwhile the analysis was in progress. Here in this paper analytical analysis is performed to find out the impact of COVID-19 in terms of total cases, total recovery and total death which has been reported during this pandemic. Various Machine learning algorithms have been utilized to perform this analysis. For this analysis Indian states have been selected and all the research work is analyzed on the dataset which is available on WHO official platform. Finally Random forest and decision tree regression model have been used to perform analytical analysis.