Medical knowledge representation in terms of IF-THEN rules and the dempster-shafer theory

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Abstract

The paper proposes a method of knowledge and certainty representation that is an alternative to fuzzy reasoning and classical probability based techniques. It makes possible to represent symptoms of different nature and is acceptable for physicians. The proposed solutions are based on the Dempster-Shafer theory of evidence, still, different definition for focal elements is proposed and specific method of basic probability assignment calculation for symptoms is suggested. It has been shown on examples of thyroid gland diseases diagnosis support that the method is efficient and numerically easy.

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APA

Straszecka, E. (2004). Medical knowledge representation in terms of IF-THEN rules and the dempster-shafer theory. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3070, pp. 1056–1061). Springer Verlag. https://doi.org/10.1007/978-3-540-24844-6_165

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