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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Guideline Recommendation Text Disambiguation, Representation and Testing
verfasst von : Silvana Quaglini, Silvia Panzarasa, Anna Cavallini, Giuseppe Micieli
Erschienen in: Artificial Intelligence in Medicine
Verlag: Springer Berlin Heidelberg
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This paper describes a knowledge acquisition tool for translating a guideline recommendation into a computer-interpretable format. The novelty of the tool is that it is addressed to the domain experts, and it helps them to disambiguate the natural language, by decomposing the recommendation into elements, eliciting tacit and implicit knowledge hidden into a recommendation and its context, mapping patient’s data, available from the electronic record, to standard terms and immediately testing the formalised rule using past cases data.