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Case Based Reasoning for Medical Decision-Support in a Safety Critical Environment

  • Isabelle Bichindaritz
  • Carol Moinpour
  • Emin Kansu
  • Gary Donaldson
  • Nigel Bush
  • Keith M. Sullivan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2780)

Abstract

Case-based reasoning systems applied to safety-critical environments justify specific measures to ensure that the assistance provided is not dangerous to human life. This article presents a case-based reasoning system developed for medical decision-support in a safety-critical environment, the CARE- PARTNER system. Based on the evaluation of the reliability of the system, it stresses the importance to differentiate between reliability and safety, and how case-based reasoning can ensure safety. A knowledge-based approach has enabled to model what types of information are safety-critical, and to adapt the decision-support system results, by introspective reasoning, based on the knowledge type, the user, and the task.

Keywords

Unify Modeling Language Clinical Decision Support System Home Care Provider Fred Hutchinson Cancer Research Center Work Memory Update 
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 2003

Authors and Affiliations

  • Isabelle Bichindaritz
    • 1
  • Carol Moinpour
    • 2
  • Emin Kansu
    • 2
  • Gary Donaldson
    • 2
  • Nigel Bush
    • 2
  • Keith M. Sullivan
    • 3
  1. 1.University of WashingtonTacoma
  2. 2.Fred Hutchinson Cancer Research CenterSeattle
  3. 3.Duke University Medical CenterDurham

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