Abstract
A large project to build an expert system for veterinary medicine was recently begun at the University of Guelph in collaboration with the Ontario Veterinary College. The hospital data-base system has been collecting on-line medical data for almost ten years. The prototype being developed is comparing several knowledge acquisition techniques from data which limit the number of rules used for diagnosis. Along with this approach, a fuzzy relational system involving all test results is being implemented. This paper shows how a combination of INGRES and the āCā programming language can be used as a knowledge base to support these different methodologies.
This project was supported by the NSERC operating grant of Dr. Mary McLeish, #A4515
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McLeish, M., Cecile, M., Lopez-Suarez, A. (1989). Database issues for a veterinary medical expert system. In: Rafanelli, M., Klensin, J.C., Svensson, P. (eds) Statistical and Scientific Database Management. SSDBM 1988. Lecture Notes in Computer Science, vol 339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027513
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DOI: https://doi.org/10.1007/BFb0027513
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