UGC Approved Journal no 63975(19)

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

Volume 4 Issue 12
December-2017
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1712156


Registration ID:
171188

Page Number

1118-1120

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Title

Applying Support vector machine for effective pulmonary tuberculosis diagnosis

Abstract

Abstract— Tuberculosis (TB) is one of those dangerous diseases caused by bacteria whose scientific name is mycobacterium. The spread of Tuberculosis is increasing mainly in developing countries for recent two decades. Oppositely the availability and the size of data are getting increased but the problem is that handling those problems in good manner and extracting useful pattern of the data to explore hidden knowledges and pattern of the disease. In order to solve the problem of the complexity the Machine learning and data mining techniques should be applied. This study is proposed to apply those techniques in order to diagnosis the disease efficiently and effectively. In this study classification is used to identify patterns and predict the occurrence of TB and to increase the accuracy of the result before previous studies

Key Words

Tuberculosis, Data mining, Support vector Machine

Cite This Article

"Applying Support vector machine for effective pulmonary tuberculosis diagnosis ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 12, page no.1118-1120, December-2017, Available :http://www.jetir.org/papers/JETIR1712156.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

"Applying Support vector machine for effective pulmonary tuberculosis diagnosis ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 12, page no. pp1118-1120, December-2017, Available at : http://www.jetir.org/papers/JETIR1712156.pdf

Publication Details

Published Paper ID: JETIR1712156
Registration ID: 171188
Published In: Volume 4 | Issue 12 | Year December-2017
DOI (Digital Object Identifier): http://doi.one/10.1717/JETIR.17142
Page No: 1118-1120
Country: Vadodara,House no A-303 Lakshya Avenue , Nr.Khodiy, Gujarat state,Vadodara, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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