基于数据挖掘探讨郑怀贤教授内服药治疗痹证的用药规律  

Characteristics of Bi Syndrome Medication and Prescription Rules in Professor Zheng Huaixian’s Oral Medication on Data Mining

作　　者：冯杨茜 张猛[2] 

机构地区：[1]成都体育学院研究生院,四川 成都 [2]成都体育学院附属体育医院门诊部,四川 成都

出　　处：《中医学》2024年第11期3204-3211,共8页Traditional Chinese Medicine

摘　　要：目的:基于数据挖掘分析郑怀贤教授治疗痹证的用药特点及规律,为现代医者临床上运用中医药诊治痹证提供新的思路。方法:筛选郑怀贤教授治疗痹证的内服方剂,将符合标准的方药录入Excel表格,对方药的频次、频率、四气、五味、归经进行统计分析,采用IBM SPSS Modeler 18.0和IBM SPSS Statistics 27.0软件,分别对关联规则及聚类分析进行分析。结果:共纳入方剂62首,中药630味。常用药物为当归、甘草、川芎、乳香、牛膝、没药、续断、红花、木香、防风、香附、血竭、赤芍、独活、骨碎补,四气以温性为主,五味以甘味为主,归经以肝、脾、肾经为主,常用核心药物组合10组,通过方剂聚类分析得到可能得新方组合5个。结论:郑怀贤教授治疗痹证用药主要以活血药为主,其中活血化瘀、活血止痛药物使用频次最多,体现了郑怀贤教授“伤必致痹”的学术思想。Objective: Based on the data mining analysis of Professor Zheng Huaixian’s drug use characteristics and rules in the treatment of Bi syndrome, it provides a new idea for modern doctors to use traditional Chinese medicine to diagnose and treat BI syndrome. Methods: The internal administration prescriptions of Professor Zheng Huaixian for the treatment of BI syndrome were screened, and the prescriptions that met the standards were recorded into an Excel table. The frequency, frequency, four qi, five taste and normalization of the other drugs were statistically analyzed. IBM SPSS Modeler 18.0 and IBM SPSS Statistics 27.0 software were used. The association rules and cluster analysis are analyzed respectively. Results: A total of 62 prescriptions and 630 traditional Chinese medicines were included. Commonly used drugs were Angelica sinensis, licorice, Chuanxiong, frankincense, achyranthes, myrrh, Dipsacus, safflower, Aucklandia, Parsnips, Cyperus, Xuejie, Radix Paeoniae, Duhuo, and Rhizoma Drynariae. The four qi were mainly warm, the five tastes were ma

关 键 词：数据挖掘 用药规律 痹证 郑怀贤 

分 类 号：R28[医药卫生—中药学]