Haddawy P, Jacobson J, Kahn C E
Department of EE and CS, University of Wisconsin-Milwaukee 53201, USA.
Artif Intell Med. 1997 Jun;10(2):177-200. doi: 10.1016/s0933-3657(96)00374-0.
We present an educational tool for bringing the information contained in a Bayesian network to the end user in an easily intelligible form. The BANTER shell is designed to tutor users in evaluation of hypotheses and selection of optimal diagnostic procedures. BANTER can be used with any Bayesian network containing nodes that can be classified into hypotheses, observations, and diagnostic procedures. The system enables one to present various types of queries to the network, to test one's ability to select optimal diagnostic procedures, and the request explanations. We describe the system's capabilities by illustrating how it functions with two structurally different network models of real-world medical problems.
我们展示了一种教育工具，它能以易于理解的形式将贝叶斯网络中包含的信息呈现给终端用户。BANTER 外壳旨在指导用户评估假设并选择最佳诊断程序。BANTER 可用于任何包含可分类为假设、观察结果和诊断程序的节点的贝叶斯网络。该系统使人们能够向网络提出各种类型的查询，测试自己选择最佳诊断程序的能力，并请求解释。我们通过说明它如何与两个结构不同的现实世界医学问题网络模型一起运行来描述该系统的功能。
