UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1902350


Registration ID:
197366

Page Number

280-283

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Title

Data Mining Techniques In Prediction Of Coronary Artery Disease: A Survey

Abstract

The usage of data mining is getting evolved in an unbelievable speed, due its applicability in most streams. The size of the data in this current world is getting increased day by day. Due to the enormous usage of web based application data are being captured lively. There exists no use of simply storing the data in computer machines. It’s necessary to use mining concept to find the hidden data which is undetected before. Data mining has started stepping in medical field to identify and predict the diseases. This paper surveys the data mining methods and recent proposals towards classifying the coronary artery disease, which is getting increased among the peoples in the world. Also, this paper attempts to provide different solutions in identifying and predicting the coronary artery disease.

Key Words

Coronary artery disease, Classification, Prediction.

Cite This Article

"Data Mining Techniques In Prediction Of Coronary Artery Disease: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.280-283, February-2019, Available :http://www.jetir.org/papers/JETIR1902350.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

"Data Mining Techniques In Prediction Of Coronary Artery Disease: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp280-283, February-2019, Available at : http://www.jetir.org/papers/JETIR1902350.pdf

Publication Details

Published Paper ID: JETIR1902350
Registration ID: 197366
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 280-283
Country: Coimbatore, Tamil Nadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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