Soft computing control of Type 1 diabetes described at molecular levels

L. Kovács, A. György, B. Benyó, Z. Benyó, A. Kovács

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The blood glucose system is one of the most important systems of the human body, since energy transport is fulfilled through this complex endocrine control process. Because of its great importance (in case of failure, its primary consequence diabetes mellitus appears), many models were published, most of them with phenomenological approach. The current paper focuses on a new molecular model published recently [1]. By modifying it to model the failure of pancreatic insulin secretion that characterizes Type 1 diabetes mellitus, soft computing based controller is designed. Rough rule base is generated with subtractive clustering which is followed by its refinement by parameter tuning. As a result, an Adaptive Neuro-Fuzzy Inference System (ANFIS) is created. Simulation results are in accordance with the behavior of the healthy human blood glucose system.

Original languageEnglish (US)
Title of host publicationProceedings - 2009 5th International Symposium on Applied Computational Intelligence and Informatics, SACI 2009
Pages99-104
Number of pages6
DOIs
StatePublished - 2009
Event2009 5th International Symposium on Applied Computational Intelligence and Informatics, SACI 2009 - Timisoara, Romania
Duration: May 28 2009May 29 2009

Publication series

NameProceedings - 2009 5th International Symposium on Applied Computational Intelligence and Informatics, SACI 2009

Other

Other2009 5th International Symposium on Applied Computational Intelligence and Informatics, SACI 2009
CountryRomania
CityTimisoara
Period5/28/095/29/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Software

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