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

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Published Paper ID:
JETIR2107245


Registration ID:
311910

Page Number

b865-b872

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Title

A Supervised Learning Method for The Efficient Performance of Hepatitis C And Cirrhosis Patients Using Support Vector Machine Classifier

Abstract

Hepatitis C and Cirrhosis is an infectious disease that influences in excess of 70 million individuals around the world, in any event, killing 400 thousand of them yearly. Constant hepatitis and Cirrhosis is a deep rooted condition with no compelling antibody, regularly prompting the beginning of extreme conditions like liver fibrosis and cirrhosis, and hepatocellular carcinoma. Liver fibrosis is the aftereffects of the injury mending reaction to tissue harm brought about by persistent hepatitis C, while cirrhosis is a high level phase of liver fibrosis with contortion of the hepatic vascula11 ture and Cirrhosis. In standard clinical practice, a prompt, speedy and non intrusive appraisal of the conclusion of potential liver harm can be in a roundabout way determined by estimating the blood levels of a few chemicals, known as the liver tests. In view of this investigation, we proposed a contemporary model dependent on AI procedures for foreseeing persistent hepatitis C and Cirrhosis. The main points of interest we are surveying to defeat are improving the forecast model's precision and limit the expectation blunder. The most point of this undertaking gets a subset of indicators diminishing expectation that limits forecast mistake for a quantitative reaction variable.

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"A Supervised Learning Method for The Efficient Performance of Hepatitis C And Cirrhosis Patients Using Support Vector Machine Classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.b865-b872, July-2021, Available :http://www.jetir.org/papers/JETIR2107245.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

"A Supervised Learning Method for The Efficient Performance of Hepatitis C And Cirrhosis Patients Using Support Vector Machine Classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppb865-b872, July-2021, Available at : http://www.jetir.org/papers/JETIR2107245.pdf

Publication Details

Published Paper ID: JETIR2107245
Registration ID: 311910
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: b865-b872
Country: HYDERABAD, TELANGANA, India .
Area: Science & Technology
ISSN Number: 2349-5162


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