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FLORENCE: synthesis of case-based and model-based reasoning in a nursing care planning system
C Bradburn1, J Zeleznikow, A Adams
1Department of Mathematics and Computing, Phillip Institute of Technology, Bundoora, Victoria, Australia.
Abstract:
In this article, the data structures and reasoning methodologies of FLORENCE, an expert system that advises on the identification of nursing diagnoses in a new client, are described. FLORENCE is primarily a case-based reasoning system, but has an ancillary model-based reasoning system to advise on complex problems. The use of multiple reasoning methods allows for better simulation of the reasoning process of the expert clinician.