中国中医药信息杂志2017，Vol.24Issue(12)：97-101,5.DOI:10.3969/j.issn.1005-5304.2017.12.024
基于Apriori改进算法的名老中医治疗糖尿病用药规律研究
Study on Medication Regularity of Famous TCM Doctors for Diabetes Based on Improved Apriori Algorithm
摘要
Abstract
Objective To analyze the medication regularity of TCM famous doctors for diabetes by using improved Apriori algorithm to obtain more efficient data mining methods. Methods This article put forward Apriori vertical data storage, and improved ADPM obtained by difference set method was used to conduct data mining to find out the medication regularity in Guo Jia Ji Ming Lao Zhong Yi Tang Niao Bing Yan An Liang Fang. Results After screening, 402 prescriptions were included, involving 24 kinds of high-frequency medicine, 15 high-frequency medical combinations, and 18 highly-dependent medical combinations, which were mainly tonifying deficiency medicine, clearing heat medicine, blood-activating and stasis-resolving medicine, and damp-draining diuretic medicine. Conclusion ADPM algorithm can be applied in the analysis on medication regularity and find out high-frequency medicine, medical combinations and medical dependent relation, with high efficiency.关键词
数据挖掘/关联规则/Apriori算法/ADPM算法/糖尿病/用药规律Key words
data mining/association rules/Apriori algorithm/ADPM algorithm/diabetes/medication regularity分类
医药卫生引用本文复制引用
万安庆,鲍剑洋,胡孔法..基于Apriori改进算法的名老中医治疗糖尿病用药规律研究[J].中国中医药信息杂志,2017,24(12):97-101,5.基金项目
国家自然科学基金(81674099、81503499) （81674099、81503499）
江苏省"青蓝工程"资助项目(2016年) （2016年）
