湖南中医药大学学报2017，Vol.37Issue(6)：642-645,4.DOI:10.3969/j.issn.1674-070X.2017.06.017
基于数据挖掘分析何泽云教授治疗CKD的用药规律
Medication Rule of Professor HE Zeyun in Treating Chronic Kidney Disease by Data Mining
摘要
Abstract
Objective To study medication rule of professor HE Zeyun in treating chronic kidney disease (CKD) by data mining. Methods We collected 1110 clinical prescriptions from 336 cases of patients with CKD. The frequency and association rules of the rescriptions were analyzed by SPSS 17.0 and Clemetine 12.0, respectively. Results The frequency us-age of the single herbs from high to low was Baimaogen, Shanyao, Huangjing, Shudihuang, Huangqi. The highest frequency usage is the type of tonic herbs (total frequency 49.6%). Association rules of herbs show that the best matches herb pairs were Baimaogen-Shanyao, Baimaogen-Maidong, Baimaogen-Huangjing, Baimaogen-Shudihuang, Baimaogen-Huangqi, Shanyao-Huangjing, Shanyao-Shudi. Conclusion reinforcing the vital essence and strengthening the primordial Qi, and invigorating the spleen and kidney are the basic treatment methods in treating CKD, which is supplemented by controlling nocturnal emis-sion, norishing Yin and purging turbidity methods. Data mining method has practical value on summary TCM clinical experi-ence, and could offer a new idea for research and selection of herbs in treating CKD.关键词
慢性肾病/数据挖掘/关联规则分析/用药规律/何泽云Key words
chronic kidney disease/data mining/association rules analysis/medication rule/HE Zeyun分类
医药卫生引用本文复制引用
杨芳,李外姣,何泽云..基于数据挖掘分析何泽云教授治疗CKD的用药规律[J].湖南中医药大学学报,2017,37(6):642-645,4.基金项目
湖南省中药管理局重点课题项目(201503) （201503）
湖南省研究生科研创新项目(CX2015B316). （CX2015B316）
