基于数据挖掘技术的中医学隐性知识显性化分析  

Externalization of Tacit Knowledge in TCM Based on Data Mining Technology

作　　者：范铁兵[1] 宁秋萍[2] 杨志旭[2] 顾东黎[1] 朱晓博[1] 燕嫱[3] FAN Tie-bing NING Qiu-ping YANG Zhi-xu GU Dong-li ZHU Xiao-bo YAN Qiang(Chinese Academy of Traditional Chinese Medicine, Beijing 100700, China Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beifing 100091, China China Agriculture University, Beijing 100083, China)

机构地区：[1]中国中医科学院,北京100700 [2]中国中医科学院西苑医院,北京100091 [3]中国农业大学,北京100083

出　　处：《中国实验方剂学杂志》2017年第10期221-226,共6页Chinese Journal of Experimental Traditional Medical Formulae

基　　金：国家中医药管理局中医药传承博士后建设项目(ZYGL-2014-RJB-001)

摘　　要：隐性知识是知识的核心,中医学隐性知识是中医学的重要组成部分。中医学隐性知识显性化是实现中医学知识有效交流与共享的必要条件,是促进中医学发展与创新的重要保障,但中医学隐性知识显性化过程会受诸多因素的影响。数据挖掘技术能够从大量的、不完全的、模糊的、随机的实际应用数据中,提取隐含在其中的、事先未知的、潜在的、有用的信息和知识。基于数据挖掘技术提取隐性知识的优势,本文围绕关联规则分析、复杂系统熵聚类分析、决策树分析、因子分析、贝叶斯网络分析等数据挖掘技术支持下的中医学隐性知识显性化进行了研究。通过文献分析与整理,以具体数据挖掘技术为分类标准和主线,研究对象涉及单个医家、古代医学典籍及现代临床研究等,研究内容涉及中医病因病机、治则治法、辨证规律、方剂使用规律、药对组方规律及其相关性等多个层面的中医学隐性知识。结果表明,针对研究内容的特点,选取针对性的数据挖掘技术能够实现中医学隐性知识的显性化,这有利于拓展中医学隐性知识显性化的渠道,有利于提高中医学隐性知识显性化的程度,有利于最大限度的实现中医学隐性知识显性化与共享。基于数据挖掘技术在中医学隐性知识显性化过程中的积极作用,具有中医特色的数据挖掘传承平台应加以推广、整合与优化,促进中医学的传承与创新。Tacit knowledge is the core of knowledge,and traditional Chinese medicine（TCM） tacit knowledge is an important part of TCM science. Externalization of tacit knowledge in TCM is a necessary condition for effective exchange and sharing of TCM knowledge,and important guarantee to promote the development and innovation of TCM. However,the process of externalizing tacit knowledge is affected by many factors. Data mining technology can extract unknown, potential, useful information and knowledge hidden in a large number of incomplete,fuzzy,random practical application data. By taking advantages of data mining technology in extracting implicit knowledge,this study focused on externalization of tacit knowledge in TCM with support of association rules analysis,complex system entropy clustering analysis,decision tree analysis,factor analysis,bayesian network analysis and other data mining technologies. Through literature analysis and collation,with specific data mining technology as classification criteria and main line,the study involved individual physicians,ancient medical classics and modern clinical researches,with content involving TCM pathogenesis,the rule of treatment,dialectical law,regularity of using prescriptions,regularity of herbal pairs and composition and other aspects of tacit TCM knowledge. The results showed that,according to the characteristics of the research content,specific data mining technology can be selected to externalize tacit TCM knowledge,which is beneficial to expand the channels of externalizing tacit knowledge of TCM,and improve the externalization of tacit TCM knowledge and maximize externalization and sharing of tacit knowledge in TCM. Based on the active role of data mining technology in the externalization of tacit knowledge of TCM,the data mining and inheritance platforms with TCM characteristics shall be popularized,integrated and optimized to promote the inheritance and innovation of TCM.

关 键 词：数据挖掘 隐性知识 显性化 研究 综述 

分 类 号：R287[医药卫生—中药学]