Evolving fuzzy neural network based on null-unineurons for the identification of coronary artery disease

Augusto Junio Guimaraes, Paulo Vitor De Campos Souza, Huoston Rodrigues Batista, Edwin Lughofer

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

Coronary diseases affect a large part of the world population and have become the target of significant research in the academic field. The creation and use of intelligent models to facilitate the diagnosis of these diseases can allow treatments to be performed promptly to avoid further problems for patients. This paper applies an innovative evolving fuzzy neural network model to solve the problem of coronary heart disease diagnosis and extract valuable insights from the evaluated dataset. The null-unineurons that compose the model's architecture can extract fuzzy rules, representing linguistic knowledge about the target problem. A dataset that condenses the most famous data sources on this problem to classify coronary heart disease was applied to state-of-the-art models of evolving fuzzy systems. The results obtained by the model applied in this study are similar to the state-of-the-art results. Furthermore, the model provides relevant interpretations about the evolution of the problem evaluation.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2681-2688
Number of pages8
ISBN (Electronic)9781665452588
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Prague, Czech Republic
Duration: 9 Oct 202212 Oct 2022

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume2022-October
ISSN (Print)1062-922X

Conference

Conference2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022
Country/TerritoryCzech Republic
CityPrague
Period09.10.202212.10.2022

Keywords

  • coronary artery disease diagnosis
  • Evolving Fuzzy Neural Networks
  • null-unineurons
  • pattern classification

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