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Enhancement in Diagnosis of Coronary Artery Disease using Fuzzy Expert System

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  • Tanmay Kasbe
  • Ravi Singh Pippal

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.

Suggested Citation

  • Tanmay Kasbe & Ravi Singh Pippal, 2018. "Enhancement in Diagnosis of Coronary Artery Disease using Fuzzy Expert System," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 1324-1331, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit1833475
    Note: Article URL: https://ijsrcseit.com/CSEIT1833475
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