摘要
讨论3种方剂数据挖掘研究的常用方法,认为关联规则在方剂数据挖掘的研究中,其优势体现在提取核心药物及揭示配伍关系;而对应分析优势则在于能以直观形象的二维图展示方证的对应关系及其内在联系;聚类分析能够使大量数据根据其自身特点自动分类。
In this paper we discuss and compare three data mining technologies applying on prescriptions. Association has good performance on extracting key drugs and opening out compatibility relationships. Correspondence anaylysis could indicate relationships of fang-zheng by intuitional two-dimensional image. Cluster analysis could cluster large data into clusters based on data s charactetistic,and the result of which could help us research.
出处
《医学信息》
2008年第10期1734-1737,共4页
Journal of Medical Information
基金
江苏省教育厅重点研究项目(06KJA36022)
江苏省教育厅青蓝工程创新团队研究项目
国家十一五科技支撑计划(BAI06A02)
南京中医药大学重点学科项目(022021027005)
关键词
方剂
数据挖掘
关联规则
聚类分析
对应分析
prescription
data mining
association
cluster anylysis
correspondence analysis
