Bartels P H, Thompson D, Weber J E
Optical Sciences Center, University of Arizona, Tucson.
In Vivo. 1993 Jul-Aug;7(4):379-85.
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.
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。
