Department of Computer Science, University of the Philippines, Diliman, Quezon City, Philippines.
Inform Health Soc Care. 2010 Mar;35(2):53-63. doi: 10.3109/17538157.2010.490624.
We describe a clinical decision support system (CDSS) designed to provide timely information germane to poisoning. The CDSS aids medical decision making through recommendations to clinicians for immediate evaluation. The system is implemented as a rule-based expert system with two major components: the knowledge base and the inference engine. The knowledge base serves as the database which contains relevant poisoning information and rules that are used by the inference engine in making decisions. This expert system accepts signs and symptoms observed from a patient as input and presents a list of possible poisoning types with the corresponding management procedures which may be considered in making the final diagnosis. A knowledge acquisition tool (KAT) that allows toxicological experts to update the knowledge base was also developed. This article describes the architecture of the fully featured system, the design of the CDSS and the KAT as web applications, the utilisation of the inferencing mechanism of C Language Integrated Production System (CLIPS), which is an expert system shell that helps the system in decision-making tasks, the methods used as well as problems encountered. We also present the results obtained after testing the system and propose some recommendations for future work.
我们描述了一个临床决策支持系统（CDSS），旨在提供与中毒相关的及时信息。该 CDSS 通过向临床医生提供即时评估建议来辅助医疗决策。该系统实现为基于规则的专家系统，具有两个主要组件：知识库和推理引擎。知识库作为数据库，其中包含相关的中毒信息和规则，推理引擎用于做出决策。该专家系统接受从患者观察到的症状和体征作为输入，并提供可能的中毒类型列表，以及在做出最终诊断时可能考虑的相应管理程序。我们还开发了一个知识获取工具（KAT），允许毒理学家更新知识库。本文描述了完整功能系统的架构、CDSS 和 KAT 作为 Web 应用程序的设计、C 语言集成生产系统（CLIPS）的推理机制的利用，CLIPS 是一个专家系统外壳，有助于系统完成决策任务、所使用的方法以及遇到的问题。我们还展示了系统测试后的结果，并提出了一些未来工作的建议。
