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Quantitative and Qualitative Approaches to Reasoning Under Uncertainty in Medical Decision Making

  • John Fox
  • David Glasspool
  • Jonathan Bury
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2101)

Abstract

Medical decision making frequently requires the effective management and communication of uncertainty and risk. However a tension exists between classical probability theory, which is precise and rigorous but which people find non-intuitive and difficult to use, and qualitative approaches which are ad hoc but can be more versatile and easily comprehensible. In this paper we review a range of approaches to uncertainty management, then describe a logical approach, argumentation, which subsumes qualitative as well as quantitative representations and has a clear formal semantics. The approach is illustrated and evaluated in five decision support applications.

Keywords

Decision Support System Subjective Probability Aggregation Function Expect Utility Theory Argumentation Framework 
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 2001

Authors and Affiliations

  • John Fox
    • 1
  • David Glasspool
    • 1
  • Jonathan Bury
    • 1
  1. 1.Imperial Cancer Research Fund LabsLincoln’s Inn FieldsLondonUK

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