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Published on: January 16, 2026
Automated knowledge-based fuzzy models generation for weaning of patients receiving ventricular assist device (VAD)
Markos G Tsipouras1, Evaggelos C Karvounis, Alexandros T Tzallas
1Biomedical Research Institute-FORTH, loannina, Greece. markos@cs.uoi.gr
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.
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