• DocumentCode
    2088721
  • Title

    Automated knowledge-based fuzzy models generation for weaning of patients receiving Ventricular Assist Device (VAD) therapy

  • Author

    Tsipouras, M.G. ; Karvounis, E.C. ; Tzallas, A.T. ; Goletsis, Yorgos ; Fotiadis, Dimitrios I. ; Adamopoulos, S. ; Trivella, M.G.

  • Author_Institution
    Biomed. Res. Inst.-FORTH, Ioannina, Greece
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    2206
  • Lastpage
    2209
  • Abstract
    The SensorART project focus on the management of heart failure (HF) patients which are treated with implantable ventricular assist devices (VADs). This work presents the way that crisp models are transformed into fuzzy in the weaning module, which is one of the core modules of the specialist´s decision support system (DSS) in SensorART. The weaning module is a DSS that supports the medical expert on the weaning and remove VAD from the patient decision. Weaning module has been developed following a “mixture of experts” philosophy, with the experts being fuzzy knowledge-based models, automatically generated from initial crisp knowledge-based set of rules and criteria for weaning.
  • Keywords
    biomedical equipment; cardiology; decision support systems; fuzzy systems; knowledge based systems; medical expert systems; patient treatment; prosthetics; SensorART project; automated knowledge-based fuzzy model generation; crisp models; heart failure patients; implantable ventricular assist devices; philosophy; specialist decision support system; ventricular assist device therapy; weaning module; Arteries; Decision support systems; Heart; Artificial Intelligence; Computer Simulation; Decision Support Systems, Clinical; Device Removal; Diagnosis, Computer-Assisted; Fuzzy Logic; Heart Failure; Heart-Assist Devices; Humans; Models, Theoretical; Treatment Outcome;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6346400
  • Filename
    6346400