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Detailing Test Characteristics for Probabilistic Networks

  • Danielle Sent
  • Linda C. van der Gaag
Conference paper
  • 431 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2780)

Abstract

In the medical domain, establishing a diagnosis typically amounts to reasoning about the unobservable truth, based upon a set of indirect observations from diagnostic tests. A diagnostic test may not be perfectly reliable, however. To avoid misdiagnosis, therefore, the reliability characteristics of the test should be taken into account upon reasoning. In this paper, we address the issue of modelling such characteristics in a probabilistic network. We argue that the standard reliability characteristics that are generally available from the literature have to be further detailed, for example by experts, before they can be included in a network. We illustrate this and related modelling issues by means of a real-life probabilistic network in oncology.

Keywords

Diagnostic Test Prior Probability Positive Test Result Parameter Probability Disease Variable 
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

  • Danielle Sent
    • 1
  • Linda C. van der Gaag
    • 1
  1. 1.Institute of Information and Computing SciencesUtrecht UniversityUtrechtthe Netherlands

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