文献类型：期刊文献

中文题名：Gout-ITS系统的正向启发式推理算法

英文题名：Direct heuristic inference algorithm for Gout-ITS

作者：赵瑛[1];张银霞[1];操静涛[1]

第一作者：赵瑛

机构：[1]北京联合大学师范学院计算机科学与技术系

第一机构：北京联合大学师范学院

年份：2006

卷号：27

期号：23

起止页码：4572-4574

中文期刊名：计算机工程与设计

外文期刊名：Computer Engineering and Design

收录：CSTPCD;;北大核心:【北大核心2004】；CSCD:【CSCD_E2011_2012】；

语种：中文

中文关键词：智能教学系统;元知识;目标知识;产生式规则;正向启发式推理

外文关键词：intelligent tutoring system; meta knowledge; object knowledge; production rules; direct heuristic inference

摘要：分析了痛风临床诊治智能教学系统(intelligent tutoring system for instruction of gout clinical diagnosis and treatment,Gout-ITS)要像人类医疗专家那样进行临床诊治推理所需的领域知识及其特点,提出了知识库的层次结构模型和正向启发式推理算法。该算法不仅能够对病例做出正确的诊断和有效的治疗,而且还能够使诊治代价降至最小。最后将该算法与一般产生式系统的正向推理算法进行了比较,阐述了该算法的优点。
Domain knowledge and it＇s characters are discussed which is needed by Gout-ITS to make reasoning of clinical diagnosis and treatment like a human medical expert. On this basis, the hierarchy model of knowledge base and direct heuristic inference algorithm are presented, which could not only make a right diagnosis and effectual treatment, but also reduce cost to least. At last, the algorithm is compared with the direct inference algorithm of normal production system and the advantages of it are showed.