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:
JETIRER06039


Registration ID:
308592

Page Number

161-164

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Title

COVID-19 PREDICTION WITH BLOOD PRESSURE USING MACHINE LEARNING

Abstract

The new infection named COVID-19 is influencing many individuals everywhere in the world. Most of the patients will experience mild to moderate respiratory disease and recover without requiring any treatment infected with the COVID-19 virus. Aged persons, and persons with underlying medical issues like disorder , diabetes, chronic respiratory illness , and cancer are more likely to develop serious illness. We have proof that Machine Learning (ML) application on the past pestilence sickness energizes analysts by giving another point to battle against the novel Corona infection episode. This work plans to completely survey the job of Machine Learning as one critical strategy in the field of screening, foreseeing, determining, contact following, and medication advancement for COVID-19.

Key Words

COVID-19, Machine Learning, blood pressure

Cite This Article

"COVID-19 PREDICTION WITH BLOOD PRESSURE USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.161-164, April-2021, Available :http://www.jetir.org/papers/JETIRER06039.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

"COVID-19 PREDICTION WITH BLOOD PRESSURE USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp161-164, April-2021, Available at : http://www.jetir.org/papers/JETIRER06039.pdf

Publication Details

Published Paper ID: JETIRER06039
Registration ID: 308592
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 161-164
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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