UGC Approved Journal no 63975(19)

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

Volume 8 Issue 5
May-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2105008


Registration ID:
308755

Page Number

a60-a74

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Title

EARLY COVID 19 DETECTION WITH CHEST X-RAY IMAGE USING MACHINE LEARNING

Abstract

The emergence of SARS-COV2 from Wuhan at the end of December 2019 has spread to 200 countries is the leading cause of deaths. Belonging to be β-COV with single-strand RNA attacks the human respiratory system. The COVID-19 symptoms appear after incubation. The appearance of symptoms varies depending on the age and status of the immune system. Globally, current trials are on vaccines and focused on plasma therapy with the survivor’s plasma. The image processing technologies has been implemented to find out the corona using chest X-ray image. The identification of the features co-ordinates will be undergone with machine learning sub domain an emerging technology. Logistic regression classification classifies the feature which are all been used there.

Key Words

Covid – 19, X-ray image & Machine learning

Cite This Article

" EARLY COVID 19 DETECTION WITH CHEST X-RAY IMAGE USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.a60-a74, May-2021, Available :http://www.jetir.org/papers/JETIR2105008.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

" EARLY COVID 19 DETECTION WITH CHEST X-RAY IMAGE USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppa60-a74, May-2021, Available at : http://www.jetir.org/papers/JETIR2105008.pdf

Publication Details

Published Paper ID: JETIR2105008
Registration ID: 308755
Published In: Volume 8 | Issue 5 | Year May-2021
DOI (Digital Object Identifier):
Page No: a60-a74
Country: Namakkal, Tamilnadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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