UGC Approved Journal no 63975

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

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2107424


Registration ID:
312521

Page Number

d277-d281

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Title

Review of AI Techniques for Covid-19 Diagnosis

Abstract

For diagnosis of corona virus disease 2019 (COVID-19), a SARS-CoV-2 virus-specific reverse transcriptase polymerase chain reaction (RT–PCR) test is routinely used. The COVID-19 pandemic has rapidly propagated due to widespread person-to-person transmission. Laboratory confirmation of SARS-CoV-2 is performed with a virus-specific RT–PCR, but the test can take up to 2 d to complete. This study shows various techniques of artificial intelligence (AI) algorithms to findings with clinical symptoms, exposure history and laboratory testing to rapidly diagnose patients who are positive for COVID-19.

Key Words

Covid-19, Artificial intelligence (AI), Deep learning, Machine Learning.

Cite This Article

"Review of AI Techniques for Covid-19 Diagnosis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.d277-d281, July-2021, Available :http://www.jetir.org/papers/JETIR2107424.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

"Review of AI Techniques for Covid-19 Diagnosis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppd277-d281, July-2021, Available at : http://www.jetir.org/papers/JETIR2107424.pdf

Publication Details

Published Paper ID: JETIR2107424
Registration ID: 312521
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: d277-d281
Country: Patel Nagar, Madhya Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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