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Employing Fuzzy Cognitive Map for Periodontal Disease Assessment

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Fuzzy Cognitive Maps for Applied Sciences and Engineering

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 54))

Abstract

Periodontal disease is a chronic bacterial infection that affects the gums and bone supporting the teeth. This research work aims to assess the severity level of periodontal disease in dental patients. The presence or absence of sign-symptoms and risk factors make it a complicated diagnostic task. Dentist usually relies on his knowledge, expertise and experiences to design the treatment(s). Therefore, it is found that there is a variation among treatments administered by different dentists. The methodology of Fuzzy Cognitive Maps (FCM) was used to model this problem and then to calculate the severity of the periodontal disease. The relationships between different sign-symptoms have been defined using easily understandable linguistic terms following the construction process of FCM and then converted to numeric values using Mamdani inference method. For convenience, a graphical interface of the system has been designed based on FCM modeling and reasoning.

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Acknowledgments

The authors would like to thank Dr. Nistha Madan, Nitin Bhatia, Lakwinder Kaur and Reetu Salaria for their initial help during the construction of FCM model and later during the simulation and verification of the results.

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Authors and Affiliations

  1. Faculty of Administrative Sciences, Fairleigh Dickinson University, Vancouver, BC, Canada

    Vijay Kumar Mago

  2. Department of Computer Engineering, Technological Educational Institute of Central Greece, 3rd Km Old National Road Lamia-Athens, 35100, Lamia, Greece

    Elpiniki I. Papageorgiou

  3. School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada

    Anjali Mago

Authors
  1. Vijay Kumar Mago
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  2. Elpiniki I. Papageorgiou
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  3. Anjali Mago
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Corresponding author

Correspondence to Vijay Kumar Mago .

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Editors and Affiliations

  1. Department of Computer Engineering, Technological Educational Institute of Central Greece, Lamia, Greece

    Elpiniki I. Papageorgiou

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Mago, V.K., Papageorgiou, E.I., Mago, A. (2014). Employing Fuzzy Cognitive Map for Periodontal Disease Assessment. In: Papageorgiou, E. (eds) Fuzzy Cognitive Maps for Applied Sciences and Engineering. Intelligent Systems Reference Library, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39739-4_20

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  • DOI: https://doi.org/10.1007/978-3-642-39739-4_20

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  • Online ISBN: 978-3-642-39739-4

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