Knowledge Editor and execution engine development for optimal ventricular assist device weaning

Evaggelos C Karvounis; Markos G Tsipouras; Alexandros T Tzallas; Yorgos Goletsis; Dimitrios I Fotiadis; John Terrovitis; Maria G Trivella

doi:10.1109/EMBC.2012.6346167

Knowledge Editor and execution engine development for optimal ventricular assist device weaning

Annu Int Conf IEEE Eng Med Biol Soc. 2012:2012:1262-5. doi: 10.1109/EMBC.2012.6346167.

Authors

Evaggelos C Karvounis¹, Markos G Tsipouras, Alexandros T Tzallas, Yorgos Goletsis, Dimitrios I Fotiadis, John Terrovitis, Maria G Trivella

Affiliation

¹ Biomedical Research Institute-FORTH, GR 45110, Ioannina, Greece. ekarvuni@cc.uoi.gr

PMID: 23366128
DOI: 10.1109/EMBC.2012.6346167

Abstract

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Decision Making, Computer-Assisted*
Decision Support Techniques*
Disease Management
Fuzzy Logic
Heart Failure / therapy*
Heart-Assist Devices*
Humans
Internet
Models, Cardiovascular
Software
User-Computer Interface