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计算机工程 ›› 2008, Vol. 34 ›› Issue (21): 178-180. doi: 10.3969/j.issn.1000-3428.2008.21.064

• 人工智能及识别技术 • 上一篇    下一篇

基于案例推理的中医诊疗专家系统

杨 健1,马小兰2,杨邓奇1   

  1. (1. 大理学院数学与计算机学院,大理 671003;2. 大理学院临床医学院,大理 671003)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-11-05 发布日期:2008-11-05

Diagnosis and Treatment Expert System of Chinese Traditional Medicine Using Case-based Reasoning

YANG Jian1, MA Xiao-lan2, YANG Deng-qi1   

  1. (1. Faculty of Mathematics and Computer, Dali University, Dali 671003; 2. Faculty of Clinical Medicine, Dali University, Dali 671003)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-11-05 Published:2008-11-05

摘要: 把基于案例推理技术用于中医诊疗专家系统的知识表示和推理。提出一个系统模型,介绍案例推理的基本结构,案例提取网以及案例提取算法,对系统中案例的学习和修正机制进行了说明,给出用基于案例的解释来生成诊断结果的解释性说明,以及辅助构建基于案例的中医诊疗辅助教学系统。对系统的特点进行总结,指出进一步研究发展方向。

关键词: 人工智能, 专家系统, 中医, 基于案例推理, 案例提取网

Abstract: This paper integrates the CBR technique into the knowledge’s representation and reasoning of the expert system of Chinese traditional medicine, puts forward the system’s model, introduces the basic framework of case reasoning: case retrieval nets and case extraction algorithm. It explains the mechanism of case study and revise, and puts forward a method to explain the diagnosis result and to build an assistant tutoring system of Chinese traditional medicine by using case-base explanation. This paper makes a summary of the advantages of the system, and puts forward the further research and development directions.

Key words: Artificial Intelligence(AI), expert system, Chinese traditional medicine, case-based reasoning, case retrieval nets

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