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Detailing Test Characteristics for Probabilistic Networks

机译:详细说明概率网络的测试特征

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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:在医疗领域,建立诊断通常基于诊断测试的一组间接观测,通常相当于推理不可观察的真理。然而,诊断测试可能无法完全可靠。因此,应在推理后考虑测试的可靠性特性。在本文中,我们解决了在概率网络中建模这些特征的问题。我们认为,在文献中通常可从文献中获得的标准可靠性特征,例如通过专家在网络中包含在网络之前。我们通过在肿瘤学中的真实概率网络来说明这一点和相关的建模问题。

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