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 language | English |
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Title of host publication | Artificial Intelligence in Medicine |
Subtitle of host publication | 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2011, Proceedings |
Editors | R. Goebel, J. Siekmann, W. Wahlster |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 35-44 |
Number of pages | 10 |
ISBN (Electronic) | 978-3-642-22218-4 |
ISBN (Print) | 978-3-642-22217-7 |
DOIs | |
Publication status | Published - 2011 |
Event | 13th Conference on Artificial Intelligence in Medicine - Bled, Slovenia Duration: 2 Jul 2011 → 6 Jul 2011 http://aimedicine.info/aime11/ |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 6747 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 13th Conference on Artificial Intelligence in Medicine |
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Abbreviated title | AIME'11 |
Country/Territory | Slovenia |
City | Bled |
Period | 2/07/11 → 6/07/11 |
Internet address |
Keywords
- knowledge-based expert systems
- explanation
- argumentation logic
- ontology
- intensive care unit