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

  • Feng Gao
  • Yaji Sripada
  • Jim Hunter
  • François Portet
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5651)

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.

Keywords

Domain Knowledge Neonatal Intensive Care Unit Discrete Event Temporal Constraint Target Event 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Feng Gao
    • 1
  • Yaji Sripada
    • 1
  • Jim Hunter
    • 1
  • François Portet
    • 2
  1. 1.Department of Computing ScienceUniversity of AberdeenAberdeenUK
  2. 2.Laboratoire d’Informatique de GrenobleGrenoble Institute of TechnologyFrance

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