Using Temporal Constraints to Integrate Signal Analysis and Domain Knowledge in Medical Event Detection

Authors:
Feng Gao;Yaji Sripada;Jim Hunter;François Portet
Affiliations:
Department of Computing Science, University of Aberdeen, Aberdeen, UK AB24 3UE;Department of Computing Science, University of Aberdeen, Aberdeen, UK AB24 3UE;Department of Computing Science, University of Aberdeen, Aberdeen, UK AB24 3UE;Laboratoire d'Informatique de Grenoble, Grenoble Institute of Technology, France
Venue:
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Year:
2009

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Abstract

The events which occur in an Intensive Care Unit (ICU) are many and varied. Very often, events which are important to an understanding of what has happened to the patient are not recorded in the electronic patient record. This paper describes an approach to the automatic detection of such unrecorded 'target' events which brings together signal analysis to generate temporal patterns, and temporal constraint networks to integrate these patterns with other associated events which are manually or automatically recorded. This approach has been tested on real data recorded in a Neonatal ICU with positive results.