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

关键词:  抑郁症  方剂  配伍规律  数据挖掘

Key words:  depression  prescription  compatibility regularity  data mining

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。

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 Qitonifying, tranquilizer, heat clearing and blood activating drugs, the highest frequency herb pairs were Baizhu-Chaihu, the frequency was 43 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.