UGC Approved Journal no 63975(19)

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

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRAQ06038


Registration ID:
201995

Page Number

185-190

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Title

Lung Cancer Diagnosis using Data Mining Algorithms

Abstract

The Early detection of lung cancer can be used to cure the lung cancer completely. The computer assisted diagnosis approaches which uses many computational algorithms have become more helpful to predict and diagnose the Lung Cancer more precisely. The recent statistics reports says that, the survival rate of lung cancer disease is only about 13 to 15 percentages. If malfunctioning cells are detected in the early stage, then the survival rate can be improved up to 50 percentages. The survival rate of Lung cancer affected person is based on the early detection of lung modules. In this paper we have studied different papers about diagnosing the lung cancer using data mining techniques.

Key Words

Data mining, Identification, Methodology, Mining tools, Mining techniques.

Cite This Article

" Lung Cancer Diagnosis using Data Mining Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.185-190, March-2019, Available :http://www.jetir.org/papers/JETIRAQ06038.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

" Lung Cancer Diagnosis using Data Mining Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp185-190, March-2019, Available at : http://www.jetir.org/papers/JETIRAQ06038.pdf

Publication Details

Published Paper ID: JETIRAQ06038
Registration ID: 201995
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 185-190
Country: -, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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