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International Conference on Advanced Computing Networking and Informatics pp 1–9Cite as

Design and Implementation of Fuzzy Expert System for Dengue Diagnosis

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 870))

Abstract

Medical diagnosis expert system is one among the best elements of expert system. This paper utilizes fuzzy expert system to raise the diagnosis level of dengue fever and early detection of dengue in patient. Fuzzy expert system is one of the most traditional artificial intelligence techniques to diagnose any disease. This paper uses MATLAB fuzzy logic toolbox to create an expert system, which is based on crisp values, rules, and defuzzification. The design of fuzzy expert system relies on patient symptoms with diagnosing report as input variable. To analyze the proposed system, accuracy, sensitivity, and specificity are measured.

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Author information

Authors and Affiliations

  1. RKDF University, Bhopal, India

    Tanmay Kasbe & Ravi Singh Pippal

Authors
  1. Tanmay Kasbe
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  2. Ravi Singh Pippal
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Corresponding author

Correspondence to Tanmay Kasbe .

Editor information

Editors and Affiliations

  1. Medi-Caps University, Indore, Madhya Pradesh, India

    Raj Kamal

  2. Loughborough University, Loughborough, UK

    Michael Henshaw

  3. Medi-Caps Group of Institutions, Indore, Madhya Pradesh, India

    Pramod S. Nair

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Kasbe, T., Pippal, R.S. (2019). Design and Implementation of Fuzzy Expert System for Dengue Diagnosis. In: Kamal, R., Henshaw, M., Nair, P. (eds) International Conference on Advanced Computing Networking and Informatics. Advances in Intelligent Systems and Computing, vol 870. Springer, Singapore. https://doi.org/10.1007/978-981-13-2673-8_1

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  • DOI: https://doi.org/10.1007/978-981-13-2673-8_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2672-1

  • Online ISBN: 978-981-13-2673-8

  • eBook Packages: EngineeringEngineering (R0)

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