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Combining Logical and Statistical Rule Reasoning and Verification for Medical Applications

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Palchunov, D.E, Tishkovsky, D.E, Tishkovskaya, Svetlana ORCID: 0000-0003-3087-6380 and Yakhyaeva, G.E (2017) Combining Logical and Statistical Rule Reasoning and Verification for Medical Applications. In: 2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), 18-22 September 2017, Novosibirsk, Russia.

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Official URL: https://doi.org/10.1109/SIBIRCON.2017.8109895

Abstract

We propose a methodology of structuring domain knowledge as a four-layered framework. The taxonomy consists of four hierarchically related components which include: Ontology, General Knowledge, Statistics and Probability Based Knowledge and individual cases. Further, we suggest using statistics based techniques to verify rules representing General Knowledge and to test and construct new decision rules

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CORE (COnnecting REpositories)