Enhancement in Diagnosis of Coronary Artery Disease using Fuzzy Expert System

Authors

  • Tanmay Kasbe  Computer Science Department, RKDF University, Bhopal, Madhya Pradesh, India
  • Ravi Singh Pippal  Computer Science Department, Vedica Institute of Technology, RKDF University, Bhopal, Madhya Pradesh, India

Keywords:

Coronary Artery Disease (CAD); fuzzy expert system; matlab tool; Cleveland database, Centroid Technique

Abstract

Coronary Artery Disease (CAD) is one of the most dangerous diseases on the globe. If it is not treated and detected at an early stage then it may lead to death. According to Global Burden of Disease Report, released on 15 September 2017, CAD is still the leading cause of death in India, killing 1.7 million Indians. The main aim of this paper is to predict Coronary Artery Disease using fuzzy expert system and for database, we have used Cleveland database. The proposed fuzzy expert system consists of three major steps i.e. fuzzification, rule base and defuzzification. Centroid technique is used for defuzzification. This system uses 10 input parameters and 1 output parameter which is either healthy, low risk, high risk or very high risk. An output result depends upon fuzzy rule base, which are combinations of input parameters. MATLAB tool used as a development tool and we have achieved 94.5% accuracy of proposed system.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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How to Cite

[1]
Tanmay Kasbe, Ravi Singh Pippal, " Enhancement in Diagnosis of Coronary Artery Disease using Fuzzy Expert System, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1324-1331, March-April-2018.