Representation of Medical Guidelines on Top of a Classification-Based System.
Christian Heinlein, Klaus Kuhn, Peter Dadam:
Representation of Medical Guidelines on Top of a Classification-Based System.
CIKM 1994: 415-422@inproceedings{DBLP:conf/cikm/HeinleinKD94,
author = {Christian Heinlein and
Klaus Kuhn and
Peter Dadam},
title = {Representation of Medical Guidelines on Top of a Classification-Based
System},
booktitle = {Proceedings of the Third International Conference on Information
and Knowledge Management (CIKM'94), Gaithersburg, Maryland, November
29 - December 2, 1994},
publisher = {ACM},
year = {1994},
pages = {415-422},
ee = {db/conf/cikm/HeinleinKD94.html, http://doi.acm.org/10.1145/191246.191316},
crossref = {DBLP:conf/cikm/94},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Medical guidelines play an increasing role in selecting diagnostic and therapeutic steps under the
aspects of effectiveness, invasiveness, and costs. To work directly on patient data already available
in electronic form, they should be integrated into a medical information system. In order to develop a
"medical guideline module" (MGM) managing and applying guidelines to patients, a "knowledge
level" representation of guidelines is necessary which reflects the structure of medical knowledge and
matches medical processes. Furthermore, a direct transformation to the "symbol level" is needed.
We use a nested, frame-like structure on the knowledge level and show that a classification-based
knowledge representation system (CBKRS) is principally well suited for the symbol level. To facilitate
the usage and to be independent of a particular CBKRS, we introduce an intermediate level called
"intelligent object system" (IOS). It is developed by augmenting a simple data model for describing
complex objects with prototypes and implications as a means to classify objects and to draw
inferences based on this classification. Finally, the transformation of guidelines to prototypes and
implications is described.
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Printed Edition
Proceedings of the Third International Conference on Information and Knowledge Management (CIKM'94), Gaithersburg, Maryland, November 29 - December 2, 1994.
ACM 1994
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