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.

Automated knowledge-based fuzzy models generation for weaning of patients receiving ventricular assist device (VAD) therapy.

Trivella Maria G
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.
2012
Inglese
34th Annual International Conference of the IEEE EMBS
2012
2206
9
Sì, ma tipo non specificato
28 August - 1 September
San Diego, CA, USA
7
none
Tsipouras Markos, G; Karvounis Evaggelos, C; Tzallas Alexandros, T; Goletsis, Yorgos; Fotiadis Dimitrios, I; Adamopoulos, Stamatis; Trivella Maria, G...espandi
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
   A remote controlled Sensorized ARTificial heart enabling patients empowerment and new therapy approaches
   SENSORART
   FP7
   248763
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/289381
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