重庆医学2017，Vol.46Issue(35)：4980-4982,4986,4.DOI:10.3969/j.issn.1671-8348.2017.35.026
基于数据挖掘防治小儿反复呼吸道感染方药配伍规律研究
Formula compatibility regulation for prevention and treatment of infantile recurrent respiratory infection based on data mining
摘要
Abstract
Objective To explore the compound compatibility regulation of oral traditional Chinese medicines (TCM) for the prevention and treatment of infantile repeated respiratory infection.Methods The oral TCM compound literatures for the prevention and treatment of infantile repeated respiratory infection were collected from four databases,including China Biology Medicine disc,CNKI,VIP Periodical and Wanfanf Data.The retrieval time was from January 2006 to July 2006.Then the TCM oral compound prescriptions meeting the requirements were obtained by the literature arrangement and performed the terms standardized processing for extracting the information and establishing Excel table.Then the Kaiyuan software package R i386 3.3.0 was used to conduct the drug frequency,association rules analysis and clustering analysis.Results A total of 311 prescriptions were screened out and 208 kinds of traditional Chinese medicine were analyzed.It was found that the higher compatibility frequencies of TCM were atractylodes,radix glycyrrhizae,windproof,radix astragali,radix pseudostellariae,poria cocos,dried tangerine or orange peel,etc.;the strong association rules prompted that modified Yupinfeng Powder composed of core medicines such as astragalus,atractylodes and windproof was the basic formula for prevention and treatment of infantile repeated respiratory infection;the clusters analysis found some TCM societies such as emembranous Astragalus mongholicus-keel-oysters,Atractylodes-Poria cocos-licorice-Astragalus mongholicus-dangshen.Conclusion The drug frequency,association rules analysis and clustering analysis can reveal the compatibility rules of TCM prescriptions for preventing and treating infantile repeated respiratory to provide reference basis for optimizing the clinical prescription and improving the curative effect.关键词
小儿/反复呼吸道感染/R语言/关联规则/聚类分析Key words
children/recurrent respiratory tract infections/R language/association rules/cluster analysis分类
医药卫生引用本文复制引用
邹敏,农志飞,梅小平,刘旺华,黎军宏,叶渊渊,彭悠悠,李爱华,韦杏..基于数据挖掘防治小儿反复呼吸道感染方药配伍规律研究[J].重庆医学,2017,46(35):4980-4982,4986,4.基金项目
广西高校壮医方药基础与应用研究重点实验室科学研究课题项目(桂教科研[2016]6号zyfy201605) （桂教科研[2016]6号zyfy201605）
湖南中医药大学中医诊断重点学科开放基金(2015ZYZD01) （2015ZYZD01）
湖南中医药大学第一附属医院国家中医临床研究基地中医药防治重症肝炎临床防治中心开放基金项目(ZZGY05). （ZZGY05）
