Guideline recommendation text disambiguation, representation and testing

Silvana Quaglini, Silvia Panzarasa, Anna Cavallini, Giuseppe Micieli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages312-316
Number of pages5
Volume6747 LNAI
DOIs
Publication statusPublished - 2011
Event13th Conference on Artificial Intelligence in Medicine, AIME 2011 - Bled, Slovenia
Duration: Jul 2 2011Jul 6 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6747 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other13th Conference on Artificial Intelligence in Medicine, AIME 2011
CountrySlovenia
CityBled
Period7/2/117/6/11

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Keywords

  • clinical practice guidelines
  • compliance
  • formalization
  • knowledge acquisition

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Quaglini, S., Panzarasa, S., Cavallini, A., & Micieli, G. (2011). Guideline recommendation text disambiguation, representation and testing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6747 LNAI, pp. 312-316). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6747 LNAI). https://doi.org/10.1007/978-3-642-22218-4_40