| 新智能化算法及其在中医诊断数字化中的应用 |
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| 引用本文： | 韦玉科,汪仁煌,李江平,陈群.新智能化算法及其在中医诊断数字化中的应用[J].计算机工程与设计,2008,29(6):1501-1504. |
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| 作者姓名： | 韦玉科 汪仁煌 李江平 陈群 |
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| 作者单位： | 广东工业大学,自动化学院,广东,广州,510640;广东工业大学,计算机学院,广东,广州,510640;广东工业大学,自动化学院,广东,广州,510640;广州中医药大学,基础医学院,广东,广州,510405 |
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| 摘 要： | 对中医临床诊断数据的特性进行了研究,提出了病证及其特征数据(症状或体征数据)的一些特性指标:病证的相似度、复杂度、隐蔽度,特征数据的贡献度、常见度、显隐性.另外,研究了基于多维关联规则提取诊断经验的方法.在此基础上,研究了一种非充分条件下复杂数据智能化处理拓展算法,该算法的实现模型嵌入了模糊竞争神经网络.该算法在复杂的中医诊断数字化中得到了应用,结果表明,该算法可以较好地处理复杂数据.
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| 关 键 词： | 智能处理 拓展算法 中医诊断 关联规则 模糊神经网络 |
| 文章编号： | 1000-7024(2008)06-1501-03 |
| 修稿时间： | 2007年4月29日 |
Intelligent processing algorithm and its application in digitization of traditional Chinese medicine diagnosis |
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| WEI Yu-ke,WANG Ren-huang,LI Jiang-ping,CHEN Qun.Intelligent processing algorithm and its application in digitization of traditional Chinese medicine diagnosis[J].Computer Engineering and Design,2008,29(6):1501-1504. |
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| Authors: | WEI Yu-ke WANG Ren-huang LI Jiang-ping CHEN Qun |
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| Affiliation: | WEI Yu-ke1,2,WANG Ren-huang1,LI Jiang-ping1,CHEN Qun3(1.School of Automation,Guangdong University of Technology,Guangzhou 510640,China,2.School of Computer,3.College of Base Medical,Guangzhou University of Traditional Chinese Medicine,Guangzhou 510405,China) |
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| Abstract: | Some characteristics of traditional Chinese medicine(TCM) clinical diagnosis data are researched,and some characteristic parameters of the diseases and its character data(symptoms or physical signs) are presented including Disease's similarity degree,and its complexity degree,and its invisibility degree,and the character data's contribution degree,rate of appearance,external(or pre-sentational) and invisible character.In addition,the means of providing diagnosis experiences for doctor based on the multidime... |
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| Keywords: | intelligent processing expandable algorithm traditional Chinese medicine(TCM) diagnosis association-rule fuzzy neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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