基于Jess模糊推理的智能医疗诊断系统研究  

Research on Intelligent Medical Diagnosis System Based on Jess Fuzzy Reasoning

作　　者：甘子琦 庞辰 王文丽 闫伟 GAN Zi-qi;PANG Chen;WANG Wen-li;YAN Wei(School of Computer Science and Engineering,Shandong Normal University,Jinan 250000,China)

机构地区：[1]山东师范大学信息科学与工程学院

出　　处：《计算机技术与发展》2019年第11期86-91,共6页Computer Technology and Development

基　　金：教育部留学回国基金;山东省高等学校科技计划项目(J15LN26);山东省自然科学基金培养基金项目(ZR2018PF006)

摘　　要：目前,受地区经济发展制约,各地区医疗资源的分布极其不均匀,医生的知识与经验也不尽相同。具有丰富的医疗知识与宝贵的诊断经验的名医往往分布在经济发达地区,导致经济落后地区的病人往往得不到高效、准确的诊断与治疗。为了解决这一问题,文中一方面研究医疗知识建模的技术与方法,构建医疗领域本体库,使得丰富的医疗知识与宝贵的医生诊断经验得到最大限度的共享与重用;另一方面,重点研究面向医疗诊断过程的模糊推理技术与方法,针对专家诊断知识建立规则库,基于Jess模糊推理辅助医生进行快速、准确的诊断。最后综合两方面建立基于Jess模糊推理的智能医疗诊断系统。该系统较好地提高了复杂病症诊断的效率和准确率,实现了医疗资源的共享。At present,restricted by the regional economic development in China,the distribution of medical resources in different regions is extremely uneven,and doctors’knowledge and experience are also different.Famous doctors with rich medical knowledge and valuable diagnostic experience are often distributed in economically developed areas,which leads to the patients in economically backward regions cannot get efficient and accurate treatment.In order to solve this problem,on the one hand,we study the modeling technology and method of medical knowledge and construct the ontology database of medical field,so that the rich medical knowledge and diagnosis experience of the valuable doctors get maximum sharing and reuse.On the other hand,we focus on the research of fuzzy reasoning technology and method for medical diagnosis,establish rule-base according to expert diagnosis knowledge,and assist doctors to make rapid and accurate diagnosis based on Jess fuzzy reasoning.Finally combining the two aspects,an intelligent medical diagnosis system based on Jess fuzzy reasoning is established,which improves the diagnostic efficiency and accuracy of complex diseases and realizes the sharing of medical resources.

关 键 词：JESS 模糊推理 规则库 医疗诊断系统 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]