目的:探索数据挖掘技术在方剂配伍规律研究中的方法。方法:1.从《中医大辞典·方剂分册》中筛选出1355首脾胃方;2.按照数据挖掘技术中对原始数据的预处理要求,进行方剂数据的规范化、结构化和数字化处理;3.根据方剂的数据特点,选用聚类分析、对应分析和频繁集方法,进行多角度、多层次和量化的分析和处理,并形成了有关技术规则和处理程序。结果:就脾胃方的核心药物、方剂结构、药对药组和“方药证”的对应关联所进行的数据挖掘,结果基本符合中医脾胃方组方用药的一般规律和特点,并发现了一些值得深入研究的特殊配伍现象和模式。结论:本研究表明,数据挖掘与传统的数据处理方法不同,能以线性和非线性方式进行数据解析,适宜对包含大量模糊和非量化数据的中医方剂配伍规律的研究。但由于数据挖掘对数据质量的要求高,因而数据预处理在方剂数据挖掘中工作量大,技术性强,是实现方剂配伍规律的知识发现的关键所在。

Exploring the methods of dada -mining technology in the study on the law of the compatibility of TCM prescriptions. Method: l.Screening out 1355 prescriptions for the treatment of Spleen-stomach diseases from the section of Prescriptions, Dictionary of Traditional Chinese Medicine; 2. standardizing, structuralizing and digitalizing the data of prescriptions according to the requirements of pre-processing raw data by data-mining technology; 3.according to the Characteristics of the prescription data, adopting the cluster analysis, the correspondence analysis and the method of frequent set to process and analyze these data from different angles, at different Ievels and by the way of quantization, and forming technical rules and processing procedures involved. Result: The result of data -mining in main drugs, prescription structure, pairing drugs and corresponding relations among formula, drugs and syndromes basically accords with the general rules and characteristics of the compatibility of spleen-stomach prescriptions in TCM, and some unusual phenomena and modes of drug compatibility, which are worth being studied deeply, are found. Conclusion: Data-mining is different from traditional data processing, which is able to analyze data by ways of linearity and non-linearity and suitable for the study on the compatibility laws of TCM prescriptions with large puzzling and non -quantization data. Since data-mining requires high-quality data, the pre-processing of data means a lot of work and high technology in the mining of prescription data, but the key to the discovery of knowledge in the compatibility laws of TCM prescriptions as well.

国家中医药管理局课题(2000-J-P-54)