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:
JETIRER06040


Registration ID:
308591

Page Number

165-170

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Title

IDENTIFYING COVID-19 RESPECT TO AGE FACTOR USING ARTIFICIAL INTELLIGENCE

Abstract

COVID-19 affects different people in different ways like lack of immunity, symptoms like diabetes,respiratory problems,cough etc..,Most infected people will develop mild to moderate illness and recover without hospitalization.Seek immediate medical attention if you have serious symptoms. Always call before visiting your doctor or health facility.People with mild symptoms who are otherwise healthy should manage their symptoms at home and they need to be self isolated to avoid the spread of the disease. Many tools are used in AI, including versions of search and mathematical optimization, artificial neural networks, and methods based on statistics, probability, economics.

Key Words

COVID-19, AI

Cite This Article

"IDENTIFYING COVID-19 RESPECT TO AGE FACTOR USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.165-170, April-2021, Available :http://www.jetir.org/papers/JETIRER06040.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

"IDENTIFYING COVID-19 RESPECT TO AGE FACTOR USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp165-170, April-2021, Available at : http://www.jetir.org/papers/JETIRER06040.pdf

Publication Details

Published Paper ID: JETIRER06040
Registration ID: 308591
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 165-170
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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