UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIRER06041


Registration ID:
308590

Page Number

171-174

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Title

TO PREDICT COVID-19 USING AGE AND BODY TEMPERATURE

Abstract

Corona virus (COVID-19) is a highly contagious disease which can be easily spread through air and close contact with covid infected humans. The virus maybe diminutive but its highly injurious for our health. They first attack the human respiratory system causing severe breathing problems like difficulty in breathing or shortness of breath. The most usual symptoms are fever, dry cough, tiredness. Machine learning (ML) has proved to be vital in predicting Covid-19 risks. Temperature screening using machine learning is also a way to predict Covid-19.

Key Words

Covid-19, machine learning (ML), temperature screening

Cite This Article

"TO PREDICT COVID-19 USING AGE AND BODY TEMPERATURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.171-174, April-2021, Available :http://www.jetir.org/papers/JETIRER06041.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

"TO PREDICT COVID-19 USING AGE AND BODY TEMPERATURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp171-174, April-2021, Available at : http://www.jetir.org/papers/JETIRER06041.pdf

Publication Details

Published Paper ID: JETIRER06041
Registration ID: 308590
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 171-174
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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