On the Analysis of COVID19 - Novel Corona Viral Disease Pandemic Spread Data Using Machine Learning Techniques
Shreyas Setlur Arun, Ganesh Neelakanta Iyer
Abstract
Coronaviruses are a group of viruses that cause various diseases in mammals and birds. In humans, they cause a range of respiratory disorders. This paper presents the analysis of the transmission of COVID19 disease and predicts the scale of the pandemic, the recovery rate as well as the fatality rate. We have used some of the well-known machine learning techniques as well as mathematical modeling techniques such as Rough Set-Support Vector Machine (RS-SVM), Bayesian Ridge and Polynomial Regression, SIR model, and RNN.
Topics & Concepts
Support vector machineComputer scienceArtificial intelligenceMachine learningPandemicCase fatality rateTransmission (telecommunications)Bayesian probabilityCoronavirus disease 2019 (COVID-19)DiseaseInfectious disease (medical specialty)MedicinePopulationEnvironmental healthTelecommunicationsPathologyCOVID-19 diagnosis using AIAnomaly Detection Techniques and ApplicationsArtificial Intelligence in Healthcare