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The application of case-based reasoning to the tasks of health care planning

  • Carol Bradburn
  • John Zeleznikow
Selected Papers Diagnosis and Decision Support
Part of the Lecture Notes in Computer Science book series (LNCS, volume 837)

Abstract

This paper describes an application of case-based reasoning in the field of health care planning. The process is modelled in the FLORENCE expert system, an experimental prototype which models the reasoning of an expert clinician in advising on the three basic planning tasks of diagnosis, prognosis and prescription within a nursing domain. We have developed an empirical approach. Both rule-based and case-based reasoning are used where appropriate. It has been found that case-based reasoning is especially appropriate to situations where decisions must be made about the progress of cases over time.

Keywords

Health Score Health Care Planning Indicator Score Pattern Score Health Pattern 
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 1994

Authors and Affiliations

  • Carol Bradburn
    • 1
  • John Zeleznikow
    • 2
    • 3
  1. 1.Department of Computer ScienceRoyal Melbourne Institute of TechnologyAustralia
  2. 2.Department of Computer Science and Computer EngineeringLa Trobe UniversityBundooraAustralia
  3. 3.Katholike Universitest BrabantTilburgNetherlands

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