Knowledge Editor and execution engine development for optimal ventricular assist device weaning.
In this work, the weaning module of the SensorART specialist decision support system (SDSS) is presented. SensorART focuses on the treatment of patients suffering from end-stage heart failure (HF). The use of a ventricular assist device (VAD) is the main treatment for HF patients. However in certain cases, myocardial function recovers and VADs can be explanted after the patient is weaned. In that framework an efficient module is developed responsible for the selection of the most suitable candidates for VAD weaning. In this study we describe all technical specifications concerning its two main sub-modules of the weaning module, of the Clinical Knowledge Editor and the Knowledge Execution Engine.
Biomedical Research Institute-FORTH, GR 45110, Ioannina, Greece. ekarvuni@cc.uoi.gr
Evaggelos C
EC
Karvounis
Markos G
MG
Tsipouras
Alexandros T
AT
Tzallas
Yorgos
Y
Goletsis
Dimitrios I
DI
Fotiadis
John
J
Terrovitis
Maria G
MG
Trivella
D003658:Decision Making, Computer-Assisted; D003661:Decision Support Techniques; D019468:Disease Management; D017143:Fuzzy Logic; D006333:Heart Failure / Q000628:therapy*; D006353:Heart-Assist Devices; D006801:Humans; D020407:Internet; D008955:Models, Cardiovascular; D012984:Software; D014584:User-Computer Interface