Reasoning with Effects of Clinical Guideline Actions Using OWL: AL Amyloidosis as a Case Study

  • Mor Peleg
  • Samson W. Tu
  • Giorgio Leonardi
  • Silvana Quaglini
  • Paola Russo
  • Giovanni Palladini
  • Giampaolo Merlini
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6924)


We developed an ontology that allows representation and reasoning with effects of clinical actions. The ontology can support three important use-cases: (1) summarization and explanation of observed clinical states, (2) enhancing patient safety using safety rules, and (3) assessing guideline compliance. In this paper we focus on explanation of observed clinical states based on abductive reasoning that utilizes a causal network. We demonstrate our approach using examples taken from a guideline for management of amyloidosis.


OWL ontology computer-interpretable guidelines causal models 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Mor Peleg
    • 1
  • Samson W. Tu
    • 2
  • Giorgio Leonardi
    • 3
  • Silvana Quaglini
    • 3
  • Paola Russo
    • 4
  • Giovanni Palladini
    • 4
  • Giampaolo Merlini
    • 4
  1. 1.University of HaifaHaifaIsrael
  2. 2.Stanford UniversityStanfordUSA
  3. 3.University of PaviaPaviaItaly
  4. 4.Amyloidosis Research and Treatment Center and Dept. of BiochemistryIRCCS Policlinico San Matteo FDN and University of PaviaPaviaItaly

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