杨秉秀教授治疗PCOS用药规律数据挖掘研究  

Research on Data Mining of Medication Rule of Professor Yang bingxiu in Treating PCOS

作　　者：吴肖男 王叶 张晨阳[1] 薛凝雨 杨秉秀[2] 乔江[2] Wu Xiaonan;Wang Ye;Zhang Chenyang;Xue Ningyu;Yang Bingxiu;Qiaojiang(Hunan University of Traditional Chinese Medicine,Changsha 410007;First Affiliated Hospital of Hunan University of Traditional Chinese Medicine,Changsha 410007)

机构地区：[1]湖南中医药大学,湖南长沙410007 [2]湖南中医药大学第一附属医院,湖南长沙410007

出　　处：《亚太传统医药》2020年第7期156-158,共3页Asia-Pacific Traditional Medicine

基　　金：国家中医药管理局全国名老中医药专家传承工作室项目(杨秉秀工作室)。

摘　　要：目的:基于数据挖掘探究杨秉秀教授治疗多囊卵巢综合征(PCOS)的临床用药规律。方法:选择杨秉秀教授诊治的266例PCOS患者的处方资料,运用SPSS 21.0软件对中药的使用频次、药类频数及频率、聚类规则进行分析。结果:与杨秉秀教授临床认为该病以肾虚为本,血瘀、痰湿为主要病理产物,治疗上以补肾活血为主,辅以理气祛痰的学术观点一致。结论:运用数据挖掘可以总结杨秉秀教授治疗PCOS的用药经验,为治疗本病提供思路。Objective:Research on the clinical medication rule of Professor Yang bingxiu in the treatment of polycystic ovarian syndrome(PCOS)based on Data Mining.Methods:266 cases of PCOS diagnosed and treated by Professor Yang bingxiu were selected,and spss-21 was used to analyze the frequency of using traditional Chinese medicine,the frequency and clustering rules of drugs.Results:It is consistent with Professor Yang bingxiu’s academic view that the disease is based on kidney deficiency,blood stasis and phlegm dampness are the main pathological products,and the treatment is mainly to invigorate the kidney and activate blood,supplemented by regulating qi and eliminating phlegm.Conclusion:Data mining can summarize Professor Yang bingxiu’s experience in treating PCOS and provide ideas for the treatment of PCOS.

关 键 词：数据挖掘 多囊卵巢综合征 PCOS 用药规律 名医经验 

分 类 号：R271.1[医药卫生—中医妇科学]