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Detailing Test Characteristics for Probabilistic Networks

机译:概率网络的详细测试特性

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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.
机译:在医学领域,基于诊断测试的一系列间接观察结果,建立诊断通常就意味着对不可观察的真相进行推理。但是,诊断测试可能并不完全可靠。因此,为避免误诊,应在推理时考虑测试的可靠性特征。在本文中,我们解决了在概率网络中对此类特征进行建模的问题。我们认为,通常可以从文献中获得的标准可靠性特征必须被进一步详细说明,例如由专家进行详细描述,然后才能将其包含在网络中。我们通过现实生活中的肿瘤学概率网络来说明此问题和相关的建模问题。

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