中医方剂属性特征的获取和知识挖掘实验  

Characteristics acquisition of prescription samples of Chinese medicine and experiments on knowledge mining

作　　者：高全泉[1] 张帆[2] 刘晓峰[2] 孙燕[2] 任廷革[2] 陈永义[3] 

机构地区：[1]中国科学院数学与系统科学研究院,北京100190 [2]北京中医药大学,北京100029 [3]中国气象局,北京100081

出　　处：《计算机工程与应用》2011年第28期212-214,共3页Computer Engineering and Applications

基　　金：国家自然科学基金(No.81072745);"十一五"国家科技支撑计划项目(No.2007BAI10B06)~~

摘　　要：介绍了一种实现方剂知识信息形式化计算的方法,并进行了量化的表达,在此基础上运用基于SVM的模式识别系统,以"方剂分类"为目标进行实验,其结果符合或接近中医学的普遍认识,获得了满意的效果。实验表明,机器学习技术是挖掘中医处方思维模式特征的可行方法,有很好的应用前景。This paper introduces a feasible method formalizing the calculation of information of a prescription of Chinese medicine, and discusses quantified representation of attribute characteristics in prescription samples.Based on aforesaid method and representation,prescription samples are classified by pattern recognition system on the basis of SVM.The acquired results are satisfactory,which are also consistent with or close to the general cognition of principal theory of Chinese medicine.The experience has shown that, machine learning method is a feasible solution to mine thinking mode of Chinese medicine experts when they writing prescriptions.It has bright future of application.

关 键 词：中医方剂 特征提取 支持向量机(SVM) 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]