Prediction of Corona Virus Outbreak using Machine Learning

Predicting the corona virus can be divided into several phases, including a state-wide analysis that includes active, confirmed, cured, deaths as well as an increase in cases on a daily basis that includes each and every state of India as well as Union Territories. This also includes a thread of new...

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Bibliographic Details
Published in:	2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies (ICISSGT) pp. 42 - 47
Main Authors:	Setty, PCS. Nagendra, Thabitha, V., Prasad, P. Prem Sree, Swathi, G. Bhavani, Ahamed, S. Sameer
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-11-2021
Subjects:	COVID-19 Epidemics Green products Linear regression Machine learning Machine learning algorithms outbreak regression Support vector machines visualization
Online Access:	Get full text
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Summary:	Predicting the corona virus can be divided into several phases, including a state-wide analysis that includes active, confirmed, cured, deaths as well as an increase in cases on a daily basis that includes each and every state of India as well as Union Territories. This also includes a thread of new corona virus cases from throughout India and forecasts the outbreak's conclusion in the next days. Machine learning algorithms like SVM, Linear Regression and Decision Tree Regression are used to analyze this data and improve this model's outcome. In this study, Jupyter notebook is used which provides an environment that is suited for machine learning principles. This technique provides for a comprehensive analysis of the virus's spread, including total and active cases, as well as forecasting future outbreaks and a weekly study epidemic.
DOI:	10.1109/ICISSGT52025.2021.00020