基于数据挖掘的中药美容方用药特点分析

Analysis onMedication Rules of Cosmetology of Traditional Chinese Medicine Based on Data Mining

目的 发掘中药美容妙方的用药特点,为推动中医药在美容中的应用和中药化妆品的开发提供依据。方法 选择具有代表性和实用价值的美容方132首,以方中涉及的345种药物作为研究对象,建立数据库,进行频数分析、关联规则分析及系统聚类分析,统计方剂中药物组成、使用频次及组方特色,从中挖掘中医药美容用药规律。结果 频次统计发现美容方剂中以疗面黑和长葆青春的方剂最多,组药最多为32味,单味药为31首,高频药物15个,排名前5位的是:白芷、川芎、细辛、白附子、杏仁。关联规则得到核心药对组合38个,其中二项8个,三项23个,四项7个。系统聚类分析得到中药聚类组合5个。结论 数据挖掘方法得出的用药和组方规律对临床具有一定的参考价值,同时为新药开发和新方组合提供思路。

Objective In order to promote the application of the cosmetology of traditional chinese medicine and the development of traditional Chinese medicine cosmetics, we explored the characteristics of traditional Chinese medicine beauty prescription.Methods A total of 132 representative and practical beauty prescriptions were selected, and 345 kinds of drugs involved in the prescriptions were selected as the research objects, established the database, and then frequency, association rule and cluster analysis were adopted for analyzing the composition, frequency and characteristics of prescriptions, and exploring the rules of beauty medicine.Result The statistics showed that the most of the beauty prescriptions were used to treat facial black and long-term youth.There were 32 drugs in the group, 31 single drugs and 15 high-frequency drugs.Top five were Baizhi(Angelicae Dahuricae Radix),Chuanxiong(Chuanxiong Rhizoma),Xixin(Asari Radix Et Rhizoma),Baifuzi(Typhonii Rhizoma) and Xingren(Armeniacae Semen Amarum).Thirty-eight groups of drug paris with the highest association intensity were obtained in association rule analysis, containing 8 association rules of two items, 23 association rules of three items and 7 association rules of four items.And system cluster analysis revealed 5 paris of herb groups.Conclusion The rules of drug use and prescription composition obtained from data mining have some reference value for clinical practice, and provide ideas for new drug development and new prescription combination.