| 引用本文: |
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[点击复制] |
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| 基于数据挖掘分析何泽云教授治疗CKD的用药规律 |
| 杨芳,李外姣,何泽云 |
| (湖南中医药大学, 湖南 长沙 410208;湖南中医药大学第一附属医院, 湖南 长沙 410007) |
| 摘要: |
| 目的 基于数据挖掘方法分析何泽云教授治疗慢性肾脏疾病（chronic kidney disease，CKD）的用药规律。方法 收集何泽云教授治疗CKD病例336份，处方1 110张，采用SPSS 17.0及数据挖掘软件clementine 12.0分别对处方进行频次分析和关联规则分析。结果 单味药使用频次由高到低依次是白茅根、山药、黄精、熟地黄、黄芪，使用频率最高的类别是补益类药物（总频率达49.6%）；关联规则分析结果显示，支持度较高的药对依次为白茅根-山药、白茅根-麦冬、白茅根-黄精、白茅根-熟地黄、白茅根-黄芪、山药-黄精、山药-熟地黄。结论 何泽云教授以培元固本，健脾补肾为基本治疗大法，辅以固精、滋阴、泄浊之法论治CKD，数据挖掘方法对于中医临床经验总结具有重要实用价值，为中医治疗CKD用药筛选及中药研发提供思路。 |
| 关键词: 慢性肾病 数据挖掘 关联规则分析 用药规律 何泽云 |
| DOI：10.3969/j.issn.1674-070X.2017.06.017 |
| 投稿时间：2016-04-16 |
| 基金项目:湖南省中药管理局重点课题项目（201503）；湖南省研究生科研创新项目（CX2015B316）。 |
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| Medication Rule of Professor HE Zeyun in Treating Chronic Kidney Disease by Data Mining |
| YANG Fang,LI Waijiao,HE Zeyun |
| (Hunan University of Chinese Medicine, Changsha, Hunan 410208, China;The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan 410007, China) |
| 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 usage 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 emission, norishing Yin and purging turbidity methods. Data mining method has practical value on summary TCM clinical experience, and could offer a new idea for research and selection of herbs in treating CKD. |
| Key words: chronic kidney disease data mining association rules analysis medication rule HE Zeyun |
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