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Using Fuzzy Neural Networks to the Prediction of Improvement in Expert Systems for Treatment of Immunotherapy

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Advances in Artificial Intelligence - IBERAMIA 2018 (IBERAMIA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11238))

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Abstract

Warts and condylomas are benign skin proliferation caused by HPV (human papillomavirus), which can appear anywhere in the body, including the genital regions. One of the treatments used to combat this type of tumor is immunotherapy, a technique that advances the stimulation of the immune system through the use of substances that modify the biological response in human beings. Immunological reactions may be the result of the antigen-antibody interaction or the mechanisms involved in cell-mediated immunity. Health professionals working with these techniques can use specialist systems to assist in the diagnosis of treatment effectiveness in patients. A system based on fuzzy logic was developed with data from medical research. This system can predict the adaptability of a patient to the treatment with 83.33% accuracy. This article proposes the use of a hybrid model of artificial intelligence and fuzzy logic to improve the predictive results of the expert system through the creation of fuzzy rules to construct a more interpretative expert system. Based on the tests performed, we can infer that the proposed model kept the results statistically equal in the prediction of efficiency in the immunotherapeutic treatment, besides making possible the creation of fuzzy rules based on the data of the research on the medication.

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Authors and Affiliations

  1. Secretariat of Information Governance-CEFET-MG, Avenue Amazonas 5253, Belo Horizonte, Minas Gerais, 30421-169, Brazil

    Paulo Vitor de Campos Souza

  2. Information Systems Course, Faculdade Una de Betim, Av. Gov. Valadares, 640 - Center, Betim, Minas Gerais, 32510-010, Brazil

    Augusto Junio GuimarĂ£es, Vinicius Jonathan Silva Araujo, Paulo Vitor de Campos Souza, Vanessa Souza Araujo & Thiago Silva Rezende

Authors
  1. Augusto Junio GuimarĂ£es
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  2. Vinicius Jonathan Silva Araujo
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  3. Paulo Vitor de Campos Souza
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  4. Vanessa Souza Araujo
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  5. Thiago Silva Rezende
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Corresponding author

Correspondence to Paulo Vitor de Campos Souza .

Editor information

Editors and Affiliations

  1. Universidad Nacional del Sur, BahĂ­a Blanca, Buenos Aires, Argentina

    Guillermo R. Simari

  2. University of Madeira, Funchal, Portugal

    Eduardo Fermé

  3. Universidad Nacional de Piura, Castilla-Piura, Peru

    Flabio Gutiérrez Segura

  4. Universidad Nacional de Trujillo, Trujillo, Peru

    José Antonio Rodríguez Melquiades

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GuimarĂ£es, A.J., Silva Araujo, V.J., de Campos Souza, P.V., Araujo, V.S., Rezende, T.S. (2018). Using Fuzzy Neural Networks to the Prediction of Improvement in Expert Systems for Treatment of Immunotherapy. In: Simari, G., FermĂ©, E., GutiĂ©rrez Segura, F., RodrĂ­guez Melquiades, J. (eds) Advances in Artificial Intelligence - IBERAMIA 2018. IBERAMIA 2018. Lecture Notes in Computer Science(), vol 11238. Springer, Cham. https://doi.org/10.1007/978-3-030-03928-8_19

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  • DOI: https://doi.org/10.1007/978-3-030-03928-8_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03927-1

  • Online ISBN: 978-3-030-03928-8

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