摘要
[目的]分析期刊文献中治疗抑郁症的处方用药及配伍规律,为临床治疗抑郁症提供参考。[方法]筛选期刊文献中治疗抑郁症的方剂,进行信息标准化处理,应用关联规则数据挖掘技术中的项集、频繁项集以及关联规则对筛选的方剂进行分析。[结果]共筛选了90个处方,方中以行气药出现频数最高,其次是补气药、安神药、清热药、补血药和活血药,方中出现频率最高的药对为白术-柴胡,频数43次;出现频率最高的10味中药为柴胡、甘草、茯苓、白芍、郁金、当归、酸枣仁、白术、香附、半夏;药对关联分析显示桃仁-红花为置信度和重要性最高的药对。[结论]期刊文献中治疗抑郁症的方剂用药精当,针对抑郁症的基本病机,能为中医药临床治疗抑郁症提供一定的借鉴与参考。
[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 standardization, 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 Qitonifying, tranquilizer, heat clearing and blood activating drugs, the highest frequency herb pairs were Baizhu-Chaihu, the frequency was43 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] Prescriptions 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.
出处
《天津中医药》
CAS
2015年第2期117-120,共4页
Tianjin Journal of Traditional Chinese Medicine
基金
国家自然科学基金面上项目(81273893)
关键词
抑郁症
方剂
配伍规律
数据挖掘
depression prescription compatibility regularity data mining
