Abstract
In this article techniques borrowed from Computer Algebra (Gröbner Bases) are applied to deal with Medical Appropriateness Criteria including uncertainty. The knowledge was provided in the format of a table. A previous translation of the table into the format of a “Rule Based System≓ (denoted RBS) based on a three-valued logic is required before-hand to apply these techniques. Once the RBS has been obtained, we apply a Computer Algebra based inference engine, both to detect anomalies and to infer new knowledge. A specific set of criteria for coronary artery surgery (originally presented in the form of a table) is analyzed in detail.
Partially supported by projects FIS 95/1952 and DGES PB96-0098-C04 (Spain).
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© 1998 Springer-Verlag Berlin Heidelberg
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Laita, L.M., Roanes-Lozano, E., Maojo, V. (1998). Inference and verification in Medical Appropriateness Criteria using Gröbner Bases. In: Calmet, J., Plaza, J. (eds) Artificial Intelligence and Symbolic Computation. AISC 1998. Lecture Notes in Computer Science, vol 1476. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0055912
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DOI: https://doi.org/10.1007/BFb0055912
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