Automated knowledge-based fuzzy models generation for weaning of patients receiving ventricular assist device (VAD) therapy.
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.
Biomedical Research Institute-FORTH, loannina, Greece. markos@cs.uoi.gr
Markos G
MG
Tsipouras
Evaggelos C
EC
Karvounis
Alexandros T
AT
Tzallas
Yorgos
Y
Goletsis
Dimitrios I
DI
Fotiadis
Stamatis
S
Adamopoulos
Maria G
MG
Trivella
D001185:Artificial Intelligence; D003198:Computer Simulation; D020000:Decision Support Systems, Clinical; D020878:Device Removal / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D017143:Fuzzy Logic; D006333:Heart Failure / Q000175:diagnosis* / Q000517:prevention & control*; D006353:Heart-Assist Devices; D006801:Humans; D008962:Models, Theoretical; D016896:Treatment Outcome