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Take heart II

机译:振作二

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摘要

Bayesian networks are a powerful technology for decision support systems. They provide a flexible platform for modeling expert knowledge and benefit from a wide range of machine learning techniques for building models from data; we can also integrate the two. However, wider adoption of the technology requires more accessible methods of presenting and interacting with them: an end-user should be exposed only to the functionality they require. Here we a prototype software tool which generates easy to use domain-specific graphical user interfaces (GUIs) based on pre-existing Bayesian networks. We illustrate the tool with Take Heart II, a prototype decision support system for assessing chronic heart disease risk factors.

机译:贝叶斯网络是用于决策支持系统的强大技术。它们为建模专家知识提供了灵活的平台,并受益于从数据构建模型的各种机器学习技术;我们也可以将两者整合。但是,更广泛地采用该技术需要呈现和与之交互的更易访问的方法:最终用户应仅了解其所需的功能。在这里,我们提供了一个原型软件工具,该工具可基于现有的贝叶斯网络生成易于使用的特定于域的图形用户界面(GUI)。我们将使用Take Heart II(一种用于评估慢性心脏病危险因素的原型决策支持系统)来说明该工具。

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