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沈亚诚,王小云,蔡永铭,傅昊阳,黎霄羽.数据挖掘技术在中医证治研究中的应用与展望[J].,2008,(9):847-850
数据挖掘技术在中医证治研究中的应用与展望
Application and Expectation of Data Mining in Traditional Chinese Medical Research of Syndrome and Treatment
  
DOI:
中文关键词:  中医证候  数据挖掘  方法
英文关键词:TCM syndromes  data mining  method
基金项目:国家科技部“十五”攻关课题(No.2001BA701A19);广东省2007年科技攻关项目(No.2007B031402002)
Author NameAffiliation
SHEN Ya-cheng 广东药学院 
WANG Xiao-yun 广州中医药大学第二附属医院 
CAI Yong-ming 广东药学院 
傅昊阳 广州中医药大学第二附属医院 
黎霄羽 广州中医药大学第二附属医院 
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中文摘要:
      本文简要介绍了数据挖掘技术,分析中医证治规律特点,对近年来数据挖掘技术在中医证治规律研究中的应用进行概括,分析其优势与存在的问题。提出如何整合多个算法进行挖掘,以提高挖掘的效率和应用价值,促进中医研究的发展。
英文摘要:
      The data mining technology was introduced,and the law and peculiarity of TCM syndrome and treatment were analyzed in this paper.Concurrently,the application of the data mining in TCM researches on rule of syndrome and treatment was roughly summarized and its advantages and existing problems were pointed out.In order to enhance the efficiency and the appliance value of the mining technology and to accelerate the development of TCM research,the method for integrating multi-algorithms to make the mining was proposed.
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