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Effect of fuzzy partitioning in Crohn’s disease classification: a neuro-fuzzy-based approach

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Abstract

Crohn’s disease (CD) diagnosis is a tremendously serious health problem due to its ultimately effect on the gastrointestinal tract that leads to the need of complex medical assistance. In this study, the backpropagation neural network fuzzy classifier and a neuro-fuzzy model are combined for diagnosing the CD. Factor analysis is used for data dimension reduction. The effect on the system performance has been investigated when using fuzzy partitioning and dimension reduction. Additionally, further comparison is done between the different levels of the fuzzy partition to reach the optimal performance accuracy level. The performance evaluation of the proposed system is estimated using the classification accuracy and other metrics. The experimental results revealed that the classification with level-8 partitioning provides a classification accuracy of 97.67 %, with a sensitivity and specificity of 96.07 and 100 %, respectively.

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Authors and Affiliations

  1. Department of CSE, JIS College of Engineering, Kalyani, West Bengal, India

    Sk. Saddam Ahmed

  2. Department of Information Technology, Techno India College of Technology, Kolkata, India

    Nilanjan Dey

  3. Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt

    Amira S. Ashour

  4. College of Computers and IT, Taif University, Ta’if, Saudi Arabia

    Amira S. Ashour

  5. Clinic of Social and Family Medicine, Faculty of Medicine, University of Crete, Crete, Greece

    Dimitra Sifaki-Pistolla

  6. Faculty of Educational Sciences, Psychology and Social Sciences, Aurel Vlaicu University of Arad, Arad, Romania

    Dana Bălas-Timar

  7. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  8. Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal

    João Manuel R. S. Tavares

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  1. Sk. Saddam Ahmed
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Correspondence to Amira S. Ashour.

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Ahmed, S.S., Dey, N., Ashour, A.S. et al. Effect of fuzzy partitioning in Crohn’s disease classification: a neuro-fuzzy-based approach. Med Biol Eng Comput 55, 101–115 (2017). https://doi.org/10.1007/s11517-016-1508-7

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  • DOI: https://doi.org/10.1007/s11517-016-1508-7

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