UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1812234


Registration ID:
192915

Page Number

241-243

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Title

APPLICATION OF DATA MINING CLASSIFICATION TECHNIQUES IN PREDICTION OF HEART DISEASE: A REVIEW

Abstract

The invention of an efficient and accurate diagnosis technique for treatment of any disease is always become a blessing for the society. One of the major goal of research and scientific activity of today’s world is to improve the health sector. It has seen that modern Bio-medical science today uses data mining algorithms to study the history of major diseases, which is obviously a critical job. This paper primarily focuses on the research related to diagnosis of heart diseases that uses data mining classification techniques. Different important data mining classification algorithms specially Decision tree, SVM, k-NN are discussed through this study.

Key Words

Data mining, Heart disease, Decision tree, SVM, k-NN.

Cite This Article

"APPLICATION OF DATA MINING CLASSIFICATION TECHNIQUES IN PREDICTION OF HEART DISEASE: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.241-243, December-2018, Available :http://www.jetir.org/papers/JETIR1812234.pdf

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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

"APPLICATION OF DATA MINING CLASSIFICATION TECHNIQUES IN PREDICTION OF HEART DISEASE: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp241-243, December-2018, Available at : http://www.jetir.org/papers/JETIR1812234.pdf

Publication Details

Published Paper ID: JETIR1812234
Registration ID: 192915
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 241-243
Country: Guwahati, Kamrup Metro, ASSAM, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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