An Interpretable Guideline Model to Handle Incomplete Information

  • Tiago Oliveira
  • João Neves
  • Ângelo Costa
  • Paulo Novais
  • José Neves
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 151)


Healthcare institutions are both natural and emotionalstressful environments; indeed, the healthcare professionals may fall intopractices that may lead to medical errors, undesirable variations in clinical doing and defensive medicine. On the other hand, Clinical Guidelines may offer an effective response to these irregularities in clinical practice, if the issues concerning their availability during the clinical process are solved. Hence, in this work it is proposed a model intended to provide a formal representation of Computer-Interpretable Guidelines, in terms of the extensions of the predicates that make their universe of discourse, as well as a Decision Support System framework to handle Incomplete Information. It will be used an extension to the language of Logic Programming, where an assessment of the Quality-of-Information of the extensions of the predicates referred to above is paramount.


Logic Program Medical Error Decision Task Logic Programming Clinical Decision Support System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Tiago Oliveira
    • 1
  • João Neves
    • 2
  • Ângelo Costa
    • 1
  • Paulo Novais
    • 1
  • José Neves
    • 1
  1. 1.CCTC, Department of InformaticsUniversity of MinhoBragaPortugal
  2. 2.Centro Hospitalar de Vila Nova de Gaia/Espinho, EPEPortoPortugal

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