Representation of Medical Guidelines Using a Classification-Based System

Heinlein, Christian and Kuhn, Klaus and Dadam, Peter (1994) Representation of Medical Guidelines Using a Classification-Based System. In: Proc. Int'l Conf. on Information and Knowledge Management (CIKM '94), 1994, Gaithersburg, USA.

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Medical guidelines play an increasing role in selecting diag-nostic 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.

Item Type: Conference or Workshop Item (Paper)
Subjects: DBIS Research > Publications
Divisions: Faculty of Engineering, Electronics and Computer Science > Institute of Databases and Informations Systems > DBIS Research and Teaching > DBIS Research > Publications
Depositing User: Eva Mader
Date Deposited: 08 May 2008 09:51
Last Modified: 14 Oct 2011 10:25

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