UGC Approved Journal no 63975(19)

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Published in:

Volume 7 Issue 10
October-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2010375


Registration ID:
302736

Page Number

2873-2880

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Title

Prediction for the spread of COVID-19 in India using Machine Learning Methods

Abstract

Nowadays, there is a very adverse impact on economic, cultural, social and almost all fields in the world because of Covid-19. The Covid-19 term is described as -'CO' for corona, 'VI' for virus, and 'D' for disease. It is an infectious disease caused by severe acute respiratory syndrome which is transmitted through respiratory droplets and contact routes. Since December 2019, corona-virus disease (COVID-19) has out-broke from the country China. The spread of COVID-19 in the whole world has put humanity at risk. The resources of some of the largest economies are stressed out due to the large infectivity and transmissibility of this disease. Due to the growing magnitude of number of cases and its subsequent stress on the administration and health professionals, some prediction methods would be required to predict the number of cases in future. In this paper, we have used data-driven estimation methods like Random Forest- regression, XGBoost, LightGBM and prophet for prediction of the number of COVID-19 cases in India: 15 days ahead and also compares India with the worldwide data and the effect of preventive measures like social isolation and lockdown and the number of tests being conducted on the spread of COVID-19. The prediction of various parameters (total number of cases, number of positive cases etc.) obtained by the proposed method is accurate within a certain range and will be a beneficial tool for administrators and health officials

Key Words

Covid, CoronaVirus, Random Forest- regression, XGBoost, Prophet, LightGBM, evaluation metrics. Prediction

Cite This Article

"Prediction for the spread of COVID-19 in India using Machine Learning Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.2873-2880, October-2020, Available :http://www.jetir.org/papers/JETIR2010375.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Prediction for the spread of COVID-19 in India using Machine Learning Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp2873-2880, October-2020, Available at : http://www.jetir.org/papers/JETIR2010375.pdf

Publication Details

Published Paper ID: JETIR2010375
Registration ID: 302736
Published In: Volume 7 | Issue 10 | Year October-2020
DOI (Digital Object Identifier):
Page No: 2873-2880
Country: visakhapatnam, AP, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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