Predictions of confirmed and death caused by COVID-19 in India

Authors

  • P Jothi Thilaga Assistant Professor, Department of Computer Science and Engineering, Ramco Institute of Technology, Rajapalayam, India
  • S Kavipriya Associate Professor, Department of Computer Science and Engineering, MepcoSchlenk Engineering College, Sivakasi, India
  • K Vijayalakshmi Professor & Head, Department of Computer Science and Engineering, Ramco Institute of Technology, Rajapalayam, India

Keywords:

COVID-19, machine learning, linear regression, prediction, correlation

Abstract

COVID-19 is spreading within the sort of a massive epidemic all over the world. This epidemic affects a lot of individuals in India. The World Health Organization states that COVID-19 could be spread from one person to another at a rapid manner through contact and respiratory spray. On these days, India and all countries worldwide should rise to an effective step to investigate this disease and eliminate the effects of this epidemic. The proposed work presents about the detailed forecasting model and prediction of the number of confirmed, recovered, and death cases in India caused by COVID-19 using machine learning algorithms. The multiple linear regressions and correlation coefficients have been applied for prediction and auto-correlation and auto-regression have been used to improve the accuracy.

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Published

18-10-2022

How to Cite

Thilaga, P. J., Kavipriya, S., & Vijayalakshmi, K. (2022). Predictions of confirmed and death caused by COVID-19 in India. International Journal of Health Sciences, 6(S8), 5401–5407. Retrieved from https://sciencescholar.us/journal/index.php/ijhs/article/view/13463

Issue

Vol. 6 No. S8 (2022)

Section

Peer Review Articles
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