基于数据挖掘分析国医大师荨麻疹的治疗用药规律研究

Analysis of Chinese Medical Master in the Treatment of Urticaria Drug Based on Data Mining

摘要: 目的：基于数据挖掘技术分析、总结国医大师治疗荨麻疹的用药规律，为进一步提高中医药治疗荨麻疹提供新的临床思路，提高治疗效果。方法：筛选符合纳入标准的处方建立数据库，应用频数统计、系统聚类、关联规则分析等方法探析国医大师对荨麻疹的诊疗经验及用药规律。结果：共纳入81条处方，涉及173味中药，高频药物为防风、甘草、赤芍、蝉蜕、当归等；性，味，归经最高频的分别为寒性、苦味、肝经，药物类别以解表药为主；高频药物系统聚类出5个药组，关联规则分析得出22个药对关联组。结论：国医大师治疗荨麻疹以祛风解表为主，同时兼顾清热燥湿、养血活血，为临床用药提供思路及参考。

Abstract: Objective: Based on the data mining technology, the paper analyzes and summarizes the medicine rules of Chinese medical masters in the treatment of urticaria, to provide new clinical ideas for further improving the treatment of urticaria by traditional Chinese medicine, and to improve the treatment effect. Methods: A database was set up to select the prescriptions conforming to the inclusion criteria, and the diagnosis and treatment experience and medication rules of Chinese medical masters were analyzed by means of frequency statistics, systematic clustering and association rule analysis. Results: A total of 81 prescriptions were included, involving 173 traditional Chinese medicines. The high-frequency drugs were parsnip, licorice, Radix paeoniae, cicada, Angelica, etc. The most common types of heat, taste, and meridian tropism are cold, bitter, and liver meridians. The main types of drugs are surface relieving drugs. Five drug groups were grouped by high-frequency drug system, and 22 drug pairs were identified by association rule analysis. Conclusion: The treatment of urticaria by Chinese medical masters mainly focuses on dispelling wind and relieving surface, while taking into account clearing heat and drying dampness, nourishing blood and promoting blood circulation, which provides ideas and references for clinical medication.