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Analyzing and Predicting Covid-19 Dataset in India using Data Mining with Regression Analysis

P. Rajesh, Vetrivel Govindarasu

2021International Research Journal on Advanced Science Hub11 citationsDOIOpen Access PDF

Abstract

COVID-19 is a disease caused by coronavirus. 'CO' stands for corona, 'VI' for virus, and 'D' for disease. Formerly, this disease was referred to as '2019 novel coronavirus. The data mining is the best tools for analyzing and predicting the hidden information with the help of pre-existing dataset. The covid analysis and prediction for consider different related parameters namely name of the states, total cases, today cases, active cases, discharged cases, today discharged cases, overall death and today deaths. In this paper, taking consideration into analyzing and predicting covid dataset using statistical techniques namely regression model. Numerical illustrations also provide to prove the results and discussions.

Topics & Concepts

Coronavirus disease 2019 (COVID-19)Regression analysisRegressionData miningCoronavirusComputer science2019-20 coronavirus outbreakStatisticsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Statistical analysisDiseaseData scienceMachine learningMathematicsMedicineVirologyInfectious disease (medical specialty)OutbreakPathologyArtificial Intelligence in HealthcareCOVID-19 diagnosis using AIAnomaly Detection Techniques and Applications