Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments

Maria Adela Grando, David Glasspool, Derek Sleeman, Malcolm Sim, Charlotte Gilhooly, John Kinsella, Laura Moss

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

5 Citations (Scopus)


The EIRA system has proved to be successful in the detection of anomalous patient responses to treatments in the Intensive Care Unit (ICU). One weakness of EIRA is the lack of mechanisms to describe to the clinicians, rationales behind the anomalous detections. In this paper, we extend EIRA by providing it with an argumentation-based justification system that formalizes and communicates to the clinicians the reasons why a patient response is anomalous. The implemented justification system uses human-like argumentation techniques and is based on real dialogues between ICU clinicians.
Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine
Subtitle of host publication13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2011, Proceedings
EditorsR. Goebel, J. Siekmann, W. Wahlster
Place of PublicationBerlin
Number of pages10
ISBN (Electronic)978-3-642-22218-4
ISBN (Print)978-3-642-22217-7
Publication statusPublished - 2011
Event13th Conference on Artificial Intelligence in Medicine - Bled, Slovenia
Duration: 2 Jul 20116 Jul 2011

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference13th Conference on Artificial Intelligence in Medicine
Abbreviated titleAIME'11
Internet address


  • knowledge-based expert systems
  • explanation
  • argumentation logic
  • ontology
  • intensive care unit


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