Abstract
This paper reports on research for decision support for anaesthesiologists at the University Hospital in Groningen, the Netherlands. Based on CAROLA, an existing automated operation documentation system, we designed a support environment that will assist in real-time diagnosis. The core of the work presented here consists of a knowledge base (containing anaesthesiological knowledge) and a diagnosis system. The knowledge base is specified in the logic-based formal specification language AFSL. This leads to a powerful and precise treatment of knowledge structuring and data abstraction.
Original language | English |
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Pages (from-to) | 189-214 |
Number of pages | 26 |
Journal | Artificial Intelligence in Medicine |
Volume | 11 |
Issue number | 3 |
DOIs | |
Publication status | Published - Nov 1997 |
Keywords
- Anesthesiology
- Artificial Intelligence
- Body Surface Area
- Body Temperature
- Decision Support Techniques
- Hematocrit
- Humans
- Models, Theoretical
- Journal Article