数据挖掘方法在中药配伍规律研究中的应用与进展

Application and progress of data mining in study of compatibility law of traditional Chinese medicine

数据挖掘是从大量数据中获取关键信息的有效手段,在中医药的现代化研究中具有广泛应用。中药配伍规律是中药处方研究中的关键问题,体现了中医遣方用药的灵活性与有效性,也是推动中医药现代化发展的关键环节。因此,挖掘中药配伍规律、阐明配伍关系的科学内涵是中药处方研究的核心目的。数据挖掘作为中药研究的有效方法与重要途径,在中药配伍规律挖掘中已形成一套标准化的研究模式与体系,能够较好地揭示药物之间的配伍关系,总结中药配伍的内在规律。该文对收集到的222篇有效文献进行整理分类,主要对数据挖掘在核心药对或药物组合的发现、归纳方剂的效用及其属性、揭示“方-药-证”间的关系、挖掘药物最佳剂量或配比以及新处方的发现等方面的应用情况及研究思路予以阐述,总结数据挖掘在研究中药配伍规律时存在的不足,并讨论其发展方向和趋势,为数据挖掘在中药配伍规律的深入研究提供有益参考。

Data mining is an important method to obtain the key information from a large amount of data,and it is widely applied in the research on the modernization of traditional Chinese medicine(TCM).The compatibility law of herbs is a key issue in the research of TCM prescriptions.This reflects the flexibility and effectiveness of TCM prescriptions,and it is also a crucial link to the development of TCM modernization.Therefore,it is the core purpose of the research on TCM prescriptions to find the compatibility law of herbs and clarify the scientific connotation.Data mining,as an effective method and an important approach,has formed a standardized system in the research of compatibility law of herbs,which can reveal the relationship between different Chinese herbs and summarize the internal rules in compatibility.Two hundred and twenty two effective papers were sorted out and categorized in this article.The results showed that data mining was mainly applied in finding the core Chinese herb pairs,summarizing the utility and attributes of TCM prescriptions,revealing the relationship between prescriptions,Chinese herbs and syndromes,finding the optimal dose of Chinese herbs,and producing the new prescriptions.The problems of data mining in research of herbs compatibility rules were summarized,and its development and trend in current researches were discussed in this article to provide useful references for the in-depth study of data mining in the compatibility law of Chinese herbs.