CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Predictive Analysis for the Diagnosis of Coronary Artery Disease using Association Rule Mining

by Chetna Yadav, Shrikant Lade, Manish K Suman
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 4
Year of Publication: 2014
Authors: Chetna Yadav, Shrikant Lade, Manish K Suman
10.5120/15195-3575

Chetna Yadav, Shrikant Lade, Manish K Suman . Predictive Analysis for the Diagnosis of Coronary Artery Disease using Association Rule Mining. International Journal of Computer Applications. 87, 4 ( February 2014), 9-13. DOI=10.5120/15195-3575

@article{ 10.5120/15195-3575,
author = { Chetna Yadav, Shrikant Lade, Manish K Suman },
title = { Predictive Analysis for the Diagnosis of Coronary Artery Disease using Association Rule Mining },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 4 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number4/15195-3575/ },
doi = { 10.5120/15195-3575 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:05:02.755086+05:30
%A Chetna Yadav
%A Shrikant Lade
%A Manish K Suman
%T Predictive Analysis for the Diagnosis of Coronary Artery Disease using Association Rule Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 4
%P 9-13
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we present an improved association rule mining of data mining for the detection of Coronary Artery Disease (CAD). The whole concept behind the research is carried out by using a heart disease database, which is collected from different locations and from different patients. It is actually collected from 303 random visitors to Tehran's Shaheed Rajaei Cardiovascular, Medical and Research Centre. The mechanism proposed in this article uses the same heart disease database as input and apply the improved association rule mining method to identify the decision rules with the correctness and robustness. This paper shows conclusions of our proposed work and results.

References
  1. Roohallah Alizadehsani, Mohammad Javad Hosseini, Zahra Alizadeh Sani, Asma Ghandeharioun, Reihane Boghrati, "Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms", IEEE 12th International Conference on Data Mining Workshop, 2012, pp. 9-16.
  2. S. Muthukaruppan, M. J. Er, "A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease", Expert Systems with Applications, Volume 39, Issue 14, 15 October 2012, Pages 11657–11665
  3. Debabrata Pal, K. M. Mandana, Sarbajit Pal, Debranjan Sarkar, Chandan Chakraborty, "Fuzzy expert system approach for coronary artery disease screening using clinical parameters", Knowledge-Based Systems, Volume 36, December 2012, Pages 162–174
  4. P. N. Tan, M. Steinbach, V. Kumar. Introduction to Data Mining. 2006. Pearson Addison-Wesley, Boston, MA
  5. R. Hu. Medical Data Mining Based on Association Rules. Computer and Information Science. Vol. 3, 2010, No. 4
  6. Mahmoud Hussein, Ashraf El-Sisi, Nabil Ismail: Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Data Base. Knowledge-Based Intelligent Information and Engineering Systems, Lecture Notes in Computer Science, Volume 5178/2008, pp. 607 -- 616 (2008)
  7. Murat Kantarcioglu and Chris Clifton: Privacy-preserving Distributed Mining of Association Rules on Horizontally Partitioned Data. IEEE transactions on knowledge and data engineering - Volume 16 Issue 9, September 2004 (2004)
  8. Vladimir Estivill-Castro, Ahmed HajYasien: Fast Private Association Rule Mining by A Protocol for Securely Sharing Distributed Data. Intelligence and Security Informatics, IEEE, pp. 324 -- 330 (2007) .
  9. Kangwanariyakul, Y. , Chanin, N. , Tanawut, T. , Thanakorn, N. "Data Mining of Magnetocardiograms for Prediction of Ischemic Heart Disease", EXCLI Journal. 33(9) 2010, Pp. :82-95.
  10. Chetna yadav, A Survey on Data Mining Techniques for the diagnosis of Coronary Artery Disease, 2013 IJARCSSE Volume 3 Issue 10.
Index Terms

Computer Science
Information Sciences

Keywords

Predictive Analysis

Powered by PhDFocusTM