天津中医药Issue(2)：117-120,4.DOI:10.11656/j.issn.1672-1519.2015.02.17
基于关联规则的抑郁症中医用药配伍规律分析
Analysis of comPatibility regularity of PrescriPtions in treating dePression based on association rules
摘要
Abstract
Objective] To analyze the law of compatibility of medicines of depression in the journal literature, provide the reference for the clinical treatment. [Methods] Screening of prescriptions of treating depression in the journal literature, proceeding information stan-dardization, application of association rules of data mining technology of itemsets, frequent itemsets and association rules to analyze the prescriptions. [Results] We screened a total of 90 prescriptions, the highest frequency herbs were Qi-activating herbs, followed by Qi-tonifying, tranquilizer, heat clearing and blood activating drugs, the highest frequency herb pairs were Baizhu-Chaihu, the frequency was 73 times;the highest frequency herbs were Chaihu, Gancao, Fuling, Baishao, Yujin, Danggui, Suanzaoren, Baizhu, Xiangfu, Banxia;drug pair correlation analysis showed that drug pair of the highest of confidence and importance was Taoren-Honghua. [Conclusion] Prescrip-tions and herbs of treating depression are precise and appropriate, according to the basic pathogenesis of depression, it can provide some reference for traditional Chinese medicine clinical treatment of depression.关键词
抑郁症/方剂/配伍规律/数据挖掘Key words
depression/prescription/compatibility regularity/data mining分类
医药卫生引用本文复制引用
周志焕,沈莉,张建勋..基于关联规则的抑郁症中医用药配伍规律分析[J].天津中医药,2015,(2):117-120,4.基金项目
国家自然科学基金面上项目（81273893）。 （）
