Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments

Grando, M. A., Moss, L. , Glasspool, D., Sleeman, D., Sim, M., Gilhooly, C. and Kinsella, J. (2011) Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments. In: 13th Conference on Artificial Intelligence in Medicine (AIME 2011), Bled, Slovenia, 2-3 Jul 2011, pp. 35-44. ISBN 9783642222177 (doi: 10.1007/978-3-642-22218-4_5)

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.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Sim, Malcolm and Kinsella, Professor John and Moss, Dr Laura and Gilhooly, Dr Charlotte
• Authors: Grando, M. A., Moss, L., Glasspool, D., Sleeman, D., Sim, M., Gilhooly, C., and Kinsella, J.
• College/School: College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing
• ISSN: 0302-9743
• ISBN: 9783642222177