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
fDate :
Aug. 28 2012-Sept. 1 2012
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346400