基于关联规则与熵聚类的安神类中成药组方规律研究

摘要

Objective:To explore composition rules of TCM tranquilizer prescriptions.Methods:The tranquilizer prescriptions in“The New National Medicine”were collected to build a database based on traditional Chinese medicine inheritance assist system. The methods of association rules with apriori algorithm and complex system entropy cluster were used to achieve the frequency of medicines and association rules between drugs.Results:The data-mining results indicated that in the tranquilizer prescriptions,the highest frequently used drugs were Poria Cocos Wolff,Radix Glycyrrhizae,Angelica sinensis,Radix Ophiopogonis,Cinnabaris. The most frequent drug combinations were “Angelica sinensis,Poria Cocos Wolff”,“Poria Cocos Wolff,Parched Semen Ziziphi Spinosae”,“Radix Glycyrrhizae,Poria Cocos Wolff”.The drugs with a high degree confidence coefficient of association rules in-cluded “Calculus Bovis,Cinnabaris”,“Semen Ziziphi Spinosae,Poria Cocos Wolff”.The new prescriptions contained Poria Co-cos Wolff,Parched Semen Ziziphi Spinosae,Radix Rehmanniae Preparata,Fructus Schisandrae Chinensis,Radix Salviae Miltior-rhizae,Radix Ophiopogonis,and Radix Rehmanniae Exsiccata.Conclusion:Chinese medicine drugs in tranquilizer prescriptions usually have the effects of nourishing the blood,calming mind,benefiting the qi,replenishing the yin and quieting the spirit.%目的：分析常用安神类中成药的处方用药规律。方法：收集《新编国家中成药》中的安神类药品处方，基于中医传承辅助系统建立处方数据库，采用关联规则apriori算法、复杂系统熵聚类等方法开展研究，确定处方中各种药物的使用频次及药物之间的关联规则等。结果：高频次药物包括茯苓、甘草、当归、麦冬、朱砂等；高频次药物组合包括“当归、茯苓”“茯苓、炒酸枣仁”“甘草、茯苓”等；置信度较高的关联规则包括“牛黄、朱砂”“酸枣仁、茯苓”等，新处方包括“茯苓、炒酸枣仁、熟地黄、五味子、丹参、麦冬、生地黄”等。结论：安神类中成药处方药物多具有养血定志，补气滋阴和重镇安神之功效。