摘要
目的:应用数据挖掘方法,分析和总结古代医著中妇科癥瘕方药的用药特点,为临床治疗提供参考。方法:检索《中华医典》收录的古代医著中治疗妇科癥瘕的方药信息,录入中医传承辅助系统,采用软件集成的改进互信息法、复杂系统熵聚类、无监督的熵层次聚类等数据挖掘方法,分析处方用药规律。结果:共纳入方剂108首,涉及中药188味;使用频率较高的药物有36味,频次均在8次以上;常用2味药组合47个,3味药组合14个;演化得到核心组合4个,新处方2个。结论:治疗妇科癥瘕的古代方剂中,以养血、活血、破血、温阳、理气、泻下药物频数较高,其核心处方为四物汤、桂枝茯苓丸加味。
Objective: To analyze and summarize composition principles of the gynecological Zhengjia prescriptions in ancient medical books by using the method of data mining,in order to provide reference for clinical treatment. Method: The information of gynecological Zhengjia prescriptions collected in the book of Traditional Chinese Medical Classics was retrieved. The composition principles were analyzed using revised mutual information,complex system entropy cluster and unsupervised hierarchical clustering in the Traditional Chinese Medicine Inheritance Support System after data entry. Result: A total of 108 prescriptions were included,involving 188 herbs,including 36 highly used herbs with the use frequency of more than 8 times,47 commonly used two-herb combinations,14 three-herb combinations, four core combinations after evolution and 2 new prescriptions.Conclusion: The frequently used herbs in ancient gynecological Zhengjia prescriptions mostly have the effects of blood-enriching,blood circulation promotion,blood-breaking,Yang-warming,Qi regulating and purgation. The core prescriptions are Siwutang and modified Guizhi Fuling Wan.
出处
《中国实验方剂学杂志》
CAS
CSCD
北大核心
2017年第6期198-202,共5页
Chinese Journal of Experimental Traditional Medical Formulae
基金
国家自然科学基金项目(81373678)
关键词
中医传承辅助平台
妇科癥瘕
数据挖掘
用药特点
Traditional Chinese Medicine Inheritance Support System
gynecological Zhengjia
date mining
composition principle