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

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

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages65-79
Number of pages15
Volume6924 LNAI
DOIs
Publication statusPublished - 2012
Event3rd International Workshop on Knowledge Representation for Health Care, KR4HC 2011, Held in Conjunction with the 13th Conference on Artificial Intelligence in Medicine, AIME 2011 - Bled, Slovenia
Duration: Jul 6 2011Jul 6 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6924 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Workshop on Knowledge Representation for Health Care, KR4HC 2011, Held in Conjunction with the 13th Conference on Artificial Intelligence in Medicine, AIME 2011
CountrySlovenia
CityBled
Period7/6/117/6/11

Keywords

  • causal models
  • computer-interpretable guidelines
  • ontology
  • OWL

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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