Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments

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

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

5 Citations (Scopus)


Abstract. 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 publicationAIME 2011 Conference Proceedings
Place of PublicationBerlin
Publication statusPublished - 2011


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


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