中医临床数据分析挖掘的研究进展  

Research progress in Chinese clinical medical data analysis and mining

作　　者：李国正[1] 曾雪强[1] 

机构地区：[1]同济大学电子与信息工程学院控制科学与工程系,上海201804

出　　处：《国际生物医学工程杂志》2013年第2期88-92,共5页International Journal of Biomedical Engineering

基　　金：国家自然科学基金资助项目（61005006,61105053,61273305）;中央高校基本科研业务费专项资金资助项目

摘　　要：随着计算机采集和存储技术的发展,中医电子病历日益普及.如何将这些数据变活,从中获得知识以推动中医传承和理论技术的创新发展已成为重要研究课题.从“病-症-证-治-效”研究框架介绍中医临床数据分析挖掘研究中具有挑战性的几个专题,并就各个专题介绍当前最新研究进展.包括中医临床数据分析挖掘的重要意义以及包含的主题研究内容和最新成果,其包括7个方面：病症分析,研究症状之间的关系,为疾病选择主症子集；通过病症与证候（疾病）之间的相关性分析来对症-证关系进行建模；证候分析；核心方及药物加减分析；方证效关系挖掘；数字化病症采集；中医知识工程.With the development of computing and storage techniques,there are a lot of medical records and clinical data stored.It raises the issue of how to mine knowledge from these records and to promote the development of traditional Chinese medicine （TCM）.Several challenging research subjects of Chinese clinical medicine data mining and analysis have been introduced in the framework of ＂disease-symptom-syndrome-formulaeffect＂,and the corresponding developments have also been reported.The significant meaning of the data mining and analysis to Chinese medicine is discussed.Then,the detailed works and recent achievements of seven subjects are given including：① Analysis of symptoms to obtain the optimal symptom subset for one disease or syndrome.② Symptom-syndrome or disease to obtain models for syndrome differentiation.③ Analysis of syndrome.④Analysis of Core formula as well as drug addition and subtraction.⑤ Formula-symptom-effect.⑥ Computerized symptoms.⑦ TCM knowledge engineering.

关 键 词：中医 临床数据 数据分析 数据挖掘 

分 类 号：R2-05[医药卫生—中医学] TP311.13[自动化与计算机技术—计算机软件与理论]