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 contributionpeer-review

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 publicationKnowledge Representation for Health-Care - AIME 2011 Workshop KR4HC 2011, Revised Selected Papers
Pages65-79
Number of pages15
DOIs
StatePublished - 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: 6 Jul 20116 Jul 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6924 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Workshop on Knowledge Representation for Health Care, KR4HC 2011, Held in Conjunction with the 13th Conference on Artificial Intelligence in Medicine, AIME 2011
Country/TerritorySlovenia
CityBled
Period6/07/116/07/11

Keywords

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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