Generalised reliability characteristics for probabilistic networks

Danielle Sent

doi:10.1016/j.artmed.2004.07.011

Generalised reliability characteristics for probabilistic networks

2005-05-01

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DOI：10.1016/j.artmed.2004.07.011

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Background: 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. Objective: In this paper, we address the issue of modelling the reliability characteristics of diagnostic tests in a probabilistic network. Method: To this end, we study the mathematical foundation of a test's characteristics and collate them with the probabilities required for a probabilistic network. Results: We show that the standard reliability characteristics that are generally available from the literature have to be further detailed and stratified, for example by experts, before they can be included in a network. We demonstrate these modelling issues by means of a real-life probabilistic network in oncology. (c) 2004 Elsevier B.V. All rights reserved.

Keyword:

sensitivity and specificity of diagnostic tests

probabilistic networks

Generalised reliability characteristics for probabilistic networks

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