Abstract
The paper describes conception and prototypical design of a decision-support server for acute abdominal pain. A user survey was initiated in three surgical departments to assess the user requirements concerning formal decision-aids. The results of this survey are presented. For scoring systems a work-up to separate terminological information from structure is described. The terminology is separately stored in a data dictionary and the structure in the knowledge base. This procedure enables a reuse of terminology for documentation and decision-support. The whole system covers a decision-support server written in C++ with underlying data dictionary and knowledge base, a documentation module written in Java and a Corba middleware (ORBacus 3.1) that establishes a connection via internet.
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References
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Eich, H.P., Ohmann, C. (1999). Internet-Based Decision-Support Server for Acute Abdominal Pain. In: Horn, W., Shahar, Y., Lindberg, G., Andreassen, S., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIMDM 1999. Lecture Notes in Computer Science(), vol 1620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48720-4_9
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DOI: https://doi.org/10.1007/3-540-48720-4_9
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