中医美容处方数据库建立与用药规律探讨

Data base establishment and data mining on regular pattern of TCM beauty prescription

目的探讨中医美容处方的用药规律。方法依托ACCESS数据库平台，建立中医美容处方数据库，并应用数据库软件对数据进行分析。结果本研究共计录入中医美容方剂1821首，着重对其中的中医美容古代方、药膳方及痤疮、黄褐斑、雀斑等处方中药物使用频度进行分析，统计显示白芷、茯苓、枸杞子、蜂蜜、黑芝麻、黄芩、当归为较常用的七味中药。结论中医美容用药以滋补人体气血阴阳为主，对皮肤病治疗则兼以清热解毒。

Objective To explore the regular pattern of TCM beauty prescription. Methods Based on the ACCESS database platform, we established TCM beauty prescription database and analyzed the information in detailed. Results The total number of beauty prescription in the database was 1821. We focused on analyzing the frequency of medicine application in ancient beauty prescriptions, medicinal diet, ache, chloasma and freckles prescriptions. Statistics showed that dahurian angelica root, indian bread, medlar, honey, black sesame, baical skullcap root, and Chinese angelica were the most commonly used seven kinds of Chinese herbs. Conclusion The main parts of Chinese medicines for making beauty were those herbs which can nourish yin and blood, supplement yang and qi; and the main parts of Chinese medicine for treating skin diseases were those herbs which can clear heat and detoxicate.