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European Workshop on Case-Based Reasoning

EWCBR 1993: Topics in Case-Based Reasoning pp 365–378Cite as

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

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Part of the book series: Lecture Notes in Computer Science ((LNAI,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.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, Royal Melbourne Institute of Technology, Australia

    Carol Bradburn

  2. Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, Victoria, Australia

    John Zeleznikow

  3. Katholike Universitest Brabant, Tilburg, Netherlands

    John Zeleznikow

Authors
  1. Carol Bradburn
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  2. John Zeleznikow
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Editor information

Stefan Wess Klaus-Dieter Althoff Michael M. Richter

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© 1994 Springer-Verlag Berlin Heidelberg

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Bradburn, C., Zeleznikow, J. (1994). The application of case-based reasoning to the tasks of health care planning. In: Wess, S., Althoff, KD., Richter, M.M. (eds) Topics in Case-Based Reasoning. EWCBR 1993. Lecture Notes in Computer Science, vol 837. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58330-0_100

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  • DOI: https://doi.org/10.1007/3-540-58330-0_100

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58330-1

  • Online ISBN: 978-3-540-48655-8

  • eBook Packages: Springer Book Archive

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