计算机与现代化 ›› 2013, Vol. 1 ›› Issue (2): 143-146.doi: 10.3969/j.issn.1006-2475.2013.02.035

• 应用与开发 • 上一篇    下一篇

基于案例推理的疾病诊断专家系统的研究

申 静   

  1. 陕西理工学院数学与计算机科学学院,陕西汉中723000
  • 收稿日期:2012-10-19 修回日期:1900-01-01 出版日期:2013-02-27 发布日期:2013-02-27

Research on Disease Diagnosis Expert System Based on Case Reasoning

SHEN Jing   

  1. School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong 723000, China
  • Received:2012-10-19 Revised:1900-01-01 Online:2013-02-27 Published:2013-02-27

摘要: 针对目前疾病诊断系统以个人经验判断为主和规则推理效率低,缺乏灵活性等问题,提出一种基于相似度阈值的案例匹配算法。通过对病人表现症状的匹配分析,得出病人的诊断结果,根据诊断结果由系统推荐相应的治疗方案;同时对新出现的病症通过相关度的计算确定与相关疾病之间的联系,更新案例库。经实验得出,系统诊断结果的准确率为90.18%,表明该系统具有较高的诊断效率和较好的智能性,能为医生进行医疗诊断提供一定的辅助作用。

关键词: 疾病诊断, 案例推理, 专家系统, 匹配

Abstract: Viewing at the problems that the disease diagnosis mainly depends on the personal experience judgment and the rule-based reasoning inefficiency and lacking of flexibility, an algorithm of case matching is proposed. The diagnosis results are achieved through symptoms matching and analysis of patients, the recommended treatment is given depended on the results. The relations between the new symptoms and related disease are determined by the calculation of the correlation, and are updated into the case library. Obtained by experiment, the accuracy rate of system diagnosis is 90.18%, it shows that the system is of a high diagnostic efficiency and better intelligence, and can provide a certain supporting for doctors in medical diagnosis.

Key words: disease diagnosis, case-based reasoning, expert system, matching