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- W2020403904 abstract "AbstractDecision recommendations are a set of alternative options for clinical decisions (e.g., diagnosis, prognosis, treatment selection, follow-up, and prevention) that are provided to decision makers by knowledge-based Clinical Decision Support Systems (k-CDSS) as aids. We propose to follow a “reasoning over domain” approach for the generation of decision recommendations by gathering and inferring conclusions from production rules. In order to rationalize our approach, we present a specification that will sustain the logic models supported in the knowledge bases we use for persistence. We introduce first the underlying knowledge model and then the necessary extensions that will convey toward the solution of the reported needs. The starting point of our approach is the proposition of Reflexive Ontologies (RO). Here, we go a step further, proposing an extension of RO that includes the handling and reasoning that production rules provide. Our approach speeds up the recommendation generation process.KEYWORDS: autopoiesisfast query systemreflexive ontologiesrule engine Notes1goo.gl/NmGirH.2Jena Home Page: goo.gl/Zru2Ct." @default.
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- W2020403904 date "2015-02-17" @default.
- W2020403904 modified "2023-09-25" @default.
- W2020403904 title "Extended Reflexive Ontologies for the Generation of Clinical Recommendations" @default.
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- W2020403904 doi "https://doi.org/10.1080/01969722.2015.1007723" @default.
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