文献类型：期刊文献

中文题名：基于粗糙集和遗传算法的中医方证相关性研究

英文题名：STUDY ON THE RELATIVITY OF PRESCRIPTION AND SYNDROME IN TCM BASED ON ROUGH SET AND GENETIC ALGORITHM

作者：陈建国[1];李四海[1];赵磊[2]

第一作者：陈建国

机构：[1]甘肃中医药大学信息工程学院,甘肃兰州730000;[2]甘肃省高校中(藏)药化学与质量省级重点实验室,甘肃兰州730000

第一机构：甘肃中医药大学信息工程学院（教育技术中心）

年份：2018

卷号：35

期号：7

起止页码：211

中文期刊名：计算机应用与软件

外文期刊名：Computer Applications and Software

收录：CSTPCD;;北大核心:【北大核心2017】；

基金：国家自然科学基金项目(81660577);兰州市科技计划项目(2015-2-70);甘肃省中医方药挖掘与创新转化重点实验室开放基金项目(ZYFYZH-KJ-2015-010)

语种：中文

中文关键词：粗糙集;遗传算法;KL散度;属性约简;方剂;证候

外文关键词：Rough set;Genetic algorithm;KL divergence;Attribute reduction;Prescription;Syndrome

摘要：针对中医方证相关性分析中存在的模糊性和不确定性问题,提出一种基于粗糙集和遗传算法的中医方证相关性分析模型。该模型使用遗传算法对方证决策表进行属性约简,构造的适应度函数一方面最大化决策属性对条件属性的依赖度,另一方面通过计算个体稀疏度与期望稀疏度的KL散度,对包含属性较多的个体进行惩罚,以便在最大化分类能力的同时获得最小的属性约简。使用该方法建立了心率失常和心绞痛的方证决策模型。实验结果表明,该方法得到的属性约简能够反映两种类型的冠心病在中药用药方面的差异,所提取的方证规则与目前中医治疗冠心病的用药原则基本一致,说明该方法用于中医方证相关性分析是可行和有效的。
Aiming at the ambiguity and uncertainty existing in the correlation analysis of traditional Chinese medicine prescriptions,a correlation analysis model based on rough set and genetic algorithm was proposed. The model used the genetic algorithm for the attribute verification of the opponent ＇s decision table,and the constructed fitness function maximized the dependence of the decision attribute on the condition attribute. On the other hand,by calculating the KL divergence of the individual sparsity degree and the expected sparsity degree,individuals with more attributes were punished in order to obtain the smallest attribute reduction while maximizing the classification ability. This method was used to establish a decision making model for arrhythmia and angina pectoris. The experimental results show that the attribute reduction obtained by this method can reflect the differences between the two types of coronary heart disease in traditional Chinese medicine. The extracted prescription rules are basically consistent with the current principles of Chinese medicine in the treatment of coronary heart disease,which shows that the method is feasible and effective for the correlation analysis of traditional Chinese medicine prescriptions.