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A Hybrid Genetic-Fuzzy Expert System for Effective Heart Disease Diagnosis

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Advances in Computing and Information Technology (ACITY 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 198))

Abstract

This paper presents a genetic algorithm (GA)-based fuzzy logic approach for computer aided disease diagnosis scheme. The aim is to design a fuzzy expert system for heart disease diagnosis. The designed system is based on Cleveland Heart Disease database. Originally there were thirteen attributes involved in predicting the heart disease. In this work genetic algorithm is used to determine the attributes that contribute more towards the diagnosis. Thirteen attributes are reduced to six attributes using genetic search. Fuzzy expert system is used for developing knowledge based systems in medicine. The proposed system uses Mamdani inference method. The system designed in Matlab software can be viewed as an alternative for existing methods to distinguish of heart disease presence.

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Author information

Authors and Affiliations

  1. School of Information Technology and Engineering, VIT University, Vellore, TamilNadu, India

    E. P. Ephzibah

Authors
  1. E. P. Ephzibah
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Editor information

Editors and Affiliations

  1. Southeastern Louisiana University, 70402, Hammond, LA, USA

    David C. Wyld

  2. Chair of Systems and Computer Networks, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michal Wozniak

  3. University of Calcutta, Calcutta, India

    Nabendu Chaki

  4. Jackson State University Jackson, 39217, MS, USA

    Natarajan Meghanathan

  5. Wireilla Net Solutions PTY Ltd, Melbourne, Victoria, Australia

    Dhinaharan Nagamalai

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© 2011 Springer-Verlag Berlin Heidelberg

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Ephzibah, E.P. (2011). A Hybrid Genetic-Fuzzy Expert System for Effective Heart Disease Diagnosis. In: Wyld, D.C., Wozniak, M., Chaki, N., Meghanathan, N., Nagamalai, D. (eds) Advances in Computing and Information Technology. ACITY 2011. Communications in Computer and Information Science, vol 198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22555-0_13

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  • DOI: https://doi.org/10.1007/978-3-642-22555-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22554-3

  • Online ISBN: 978-3-642-22555-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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