Type 1 diabetes regulated by ANFIS at molecular levels

Levente Kovács, Andras Gyorgy, B. Benyó, A. Kovács

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

    Abstract

    Soft computing based controller is designed for Type 1 diabetes modeled at molecular levels. 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 publicationWorld Congress on Medical Physics and Biomedical Engineering
    Subtitle of host publicationImage Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
    Pages841-844
    Number of pages4
    Volume25
    Edition4
    DOIs
    StatePublished - Dec 1 2009
    EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
    Duration: Sep 7 2009Sep 12 2009

    Other

    OtherWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
    CountryGermany
    CityMunich
    Period9/7/099/12/09

    Fingerprint

    Soft computing
    Fuzzy inference
    Medical problems
    Glucose
    Blood Glucose
    Blood
    Tuning
    Controllers

    Keywords

    • ANFIS
    • Diabetes
    • Molecular model
    • Subtractive clustering

    ASJC Scopus subject areas

    • Bioengineering
    • Biomedical Engineering

    Cite this

    Kovács, L., Gyorgy, A., Benyó, B., & Kovács, A. (2009). Type 1 diabetes regulated by ANFIS at molecular levels. In World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics (4 ed., Vol. 25, pp. 841-844) https://doi.org/10.1007/978-3-642-03882-2-224

    Type 1 diabetes regulated by ANFIS at molecular levels. / Kovács, Levente; Gyorgy, Andras; Benyó, B.; Kovács, A.

    World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. Vol. 25 4. ed. 2009. p. 841-844.

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

    Kovács, L, Gyorgy, A, Benyó, B & Kovács, A 2009, Type 1 diabetes regulated by ANFIS at molecular levels. in World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4 edn, vol. 25, pp. 841-844, World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics, Munich, Germany, 9/7/09. https://doi.org/10.1007/978-3-642-03882-2-224
    Kovács L, Gyorgy A, Benyó B, Kovács A. Type 1 diabetes regulated by ANFIS at molecular levels. In World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4 ed. Vol. 25. 2009. p. 841-844 https://doi.org/10.1007/978-3-642-03882-2-224
    Kovács, Levente ; Gyorgy, Andras ; Benyó, B. ; Kovács, A. / Type 1 diabetes regulated by ANFIS at molecular levels. World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. Vol. 25 4. ed. 2009. pp. 841-844
    @inproceedings{d1c9880ca4cd4ddeaaefd0c823b4fca3,
    title = "Type 1 diabetes regulated by ANFIS at molecular levels",
    abstract = "Soft computing based controller is designed for Type 1 diabetes modeled at molecular levels. 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.",
    keywords = "ANFIS, Diabetes, Molecular model, Subtractive clustering",
    author = "Levente Kov{\'a}cs and Andras Gyorgy and B. Beny{\'o} and A. Kov{\'a}cs",
    year = "2009",
    month = "12",
    day = "1",
    doi = "10.1007/978-3-642-03882-2-224",
    language = "English (US)",
    isbn = "9783642038815",
    volume = "25",
    pages = "841--844",
    booktitle = "World Congress on Medical Physics and Biomedical Engineering",
    edition = "4",

    }

    TY - GEN

    T1 - Type 1 diabetes regulated by ANFIS at molecular levels

    AU - Kovács, Levente

    AU - Gyorgy, Andras

    AU - Benyó, B.

    AU - Kovács, A.

    PY - 2009/12/1

    Y1 - 2009/12/1

    N2 - Soft computing based controller is designed for Type 1 diabetes modeled at molecular levels. 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.

    AB - Soft computing based controller is designed for Type 1 diabetes modeled at molecular levels. 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.

    KW - ANFIS

    KW - Diabetes

    KW - Molecular model

    KW - Subtractive clustering

    UR - http://www.scopus.com/inward/record.url?scp=77950102614&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=77950102614&partnerID=8YFLogxK

    U2 - 10.1007/978-3-642-03882-2-224

    DO - 10.1007/978-3-642-03882-2-224

    M3 - Conference contribution

    SN - 9783642038815

    VL - 25

    SP - 841

    EP - 844

    BT - World Congress on Medical Physics and Biomedical Engineering

    ER -