摘要
为了探索中医药治疗糖尿病方剂用药规律,本文基于公开文献信息,收集、整理、规范糖尿病治疗的方剂,并建立糖尿病治疗方剂的结构化数据库,运用软件中的数据统计及挖掘方法对其用药规律进行系统分析。分析显示,高频药物包括黄芪、当归、茯苓、丹参,药物组合出现频次前3位包括丹参、黄芪,当归、黄芪,山药、黄芪,药物关联度较高的为六味地黄丸或桃红四物汤中的药物组合。目前认为,糖尿病的中医治疗以益气、活血、补肾为主,针对糖尿病不同阶段、不同证型进行药物配伍,对提高糖尿病的综合疗效有重要意义。
To explore the medication rules of traditional Chinese medicine prescriptions for treating diabetes, Traditional Chinese Medicine （TCM）prescriptions for treating diabetes based on published literatures were collected and regulated to build a structure database. A systematic analysis of the medication rules in TCM prescriptions for treating diabetes was carried out by using the methods of data statistics and the data mining. Based on the analysis of prescriptions for treating diabetes, the analysis indicated that the frequently adopted drugs were Astragali Radix, Angelicae Sinensis Radix, Poria and Salviae Mihiorrhizae Radix et Rhizoma. The frequently adopted drug combinations were ＇ Salviae Miltiorrhizae Radix et Rhizoma. and Astragali Radix＇ , ＇ Angelicae Sinensis Radix and Astragali Radix＇ , ＇ Dioscoreae Rhizoma and Astragali Radix＇ . The drug combinations with the high degree correlation between herbs, were in Liuwei Dihuang Pill or Taohong Siwu tang. The analysis of traditional Chinese medicine prescriptions for treating diabetes showed that the herbs of nourishing qi, reinforcing kidney and activating blood circulation were mainly used in Chinese traditional medicine for treating diabetes. Drug combination was important in improving the therapeutic effect on diabetes, according to different phases and types of diabetes.
出处
《中国现代中药》
CAS
2017年第4期594-598,共5页
Modern Chinese Medicine
基金
中国博士后基金项目(2014M552546XB)
关键词
糖尿病
用药规律
数据挖掘
中医药
Diabetes
medication rules
data Mining
traditional Chinese medicine
