Beveridge Martin, Fox John
Advanced Computation Lab, Cancer Research UK, 44 Lincoln's Inn Fields, London WC2A 3PX, UK.
J Biomed Inform. 2006 Oct;39(5):482-99. doi: 10.1016/j.jbi.2005.12.008. Epub 2006 Feb 2.
This paper presents some research undertaken as part of the EU-funded HOMEY project, into the application of intelligent dialogue systems to healthcare systems. The work presented here concentrates on the ways in which knowledge of underlying task structure (e.g., a medical guideline) can be combined with ontological knowledge (e.g., medical semantic dictionaries) to provide a basis for the automatic generation of flexible and re-configurable dialogue. This approach is next evaluated via a specific application that provides decision support to general practitioners to help determine whether or not a patient should be referred to a cancer specialist. The competence of the resulting dialogue application, its speech recognition performance, and dialogue performance are all evaluated to determine the applicability of this approach.
本文介绍了作为欧盟资助的HOMEY项目一部分所开展的一些研究，内容涉及智能对话系统在医疗系统中的应用。此处展示的工作集中于探讨如何将基础任务结构知识（例如医学指南）与本体知识（例如医学语义词典）相结合，以为自动生成灵活且可重新配置的对话提供基础。接下来，通过一个为全科医生提供决策支持以帮助确定患者是否应转诊至癌症专科医生的具体应用来评估该方法。对由此产生的对话应用的能力、其语音识别性能和对话性能进行了全面评估，以确定该方法的适用性。
