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基于推理网络的诊断决策支持。

Diagnostic decision support by inference networks.

作者信息

Bartels P H, Thompson D, Weber J E

机构信息

Optical Sciences Center, University of Arizona, Tucson.

出版信息

In Vivo. 1993 Jul-Aug;7(4):379-85.

PMID:8218983
Abstract

Inference networks permit the combining of diagnostic evidence in such a fashion that the mutual dependence structure of different pieces of evidence is considered, and that a probabilistic measure of the uncertainty of the final diagnostic decision is provided. Operated in an automatic reasoning mode, an inference network allows a decoupling of the false negative rate from the false positive rate in diagnostic procedures involving rare event detection such as the prescreening for cervical cancer.

摘要

推理网络允许以这样一种方式组合诊断证据

考虑不同证据片段之间的相互依赖结构,并提供最终诊断决策不确定性的概率度量。在自动推理模式下运行时,推理网络能够在涉及罕见事件检测(如宫颈癌预筛查)的诊断程序中,将假阴性率与假阳性率解耦。

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