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《环球中医药》[ISSN:1006-6977/CN:61-1281/TN]

卷:

第10卷

期数:

2017年05期

页码:

547-551

栏目:

数据挖掘研究

出版日期:

2017-05-06

文章信息/Info

Title:

Based on data mining of using drugs regularity in clinical treatment on the simple obesity in Chinese Medicine research

作者:

姚婷 赵鋆

201203 上海中医药大学附属曙光医院儿科[姚婷(硕士研究生)、赵鋆]

Author(s):

Yao Ting; ZHAO Jun.

Department of paediatrics,Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China

关键词:

关联规则;  单纯性肥胖;  中医药;  数据挖掘

Keywords:

Association rules;  Simple obesity;  Traditional Chinese medicine;  Data mining

分类号:

R2-03

DOI:

10.3969/j.issn.1674-1749.2017.05.009

文献标志码:

A

摘要:

目的 收集有关单纯性肥胖的中医临床治疗研究,将其处方和用药拆解为各个独立事物体,并寻找各个事物的出现频次、事物间的联系和规律。筛选出最佳关联规则,指导今后的临床试验研究。方法(1)对维普、万方、知网和中国生物医药数据库建库至2015年12月收录的有关“中医药治疗单纯性肥胖”的临床试验进行文献检索;(2)整理文献,将文献中出现的处方和用药描述进行整理;(3)采用Excel和Spss Moldeler数据挖掘软件,通过Apriori计算方法,求得各关联规则的支持度和置信度并排序。结果 共收集文献总数1070篇,最后纳入文献共83篇,收集处方109首,药物156味。药对分析组最佳关联规则为茯苓→陈皮(S=27.52% C=90.00%)。药组分析组最佳关联规则是茯苓→陈皮、白术(S=18.35% C=100.00%)。组方分析组最佳关联规则是陈皮→半夏、白术、茯苓(S=14.68% C=87.50%)。症状与药物之间最佳关联规则是形体肥胖→陈皮、白术、茯苓(S=23.53% C=91.67%)。结论 结合药物与药物、症状与药物的关联规律,认为以利水渗湿药、消食药、泻下药治疗单纯性肥胖病脾虚痰阻证居多。

Abstract:

Objective The researches on the clinical treatment of simple obesity in Chinese Medicine was collected and separated the prescription, medication and symptoms into Independent things. Then the frequency of occurrence of each thing and relations and rules between things were found out. The best association rules and guides for future clinical trials were screened out. Methods(1)Searching out Clinical trial literature on “simple obesity treated by traditional Chinese medicine” in VIP, Wanfang data, CNKI and Chinese biomedical database from when they were established to December 2015.(2)The prescription and drug description in the literature were sorted out.(3)Excel and Spss Moldeler was used to obtain and sort the support and confidence of the association rules through Apriori calculation method. Results 1070 articles were collected, 83 articles met the requirement. 109 prescriptions and 156 medications were collected. The best Association rules of the couplet medicines analysis group was Poria cocos→dried tangerine or orange peel(S=27.52% C=90.00%). The best Association rules of the drug group analysis group was Poria cocos→dried tangerine or orange peel, bighead atractylodes rhizome(S=18.35% C=100.00%). The best Association rules of the compositional analysis of recipe group was dried tangerine or orange peel→Pinellia ternata, bighead atractylodes rhizome, Poria cocos(S=14.68% C=87.50%). The best Association rules of symptoms and medicines was obesity→dried tangerine or orange peel,bighead atractylodes rhizome,Poria cocos(S=23.53% C=91.67%). Conclusion Combination of the relations of drugs and drugs, symptoms and drugs, it is thought that the treatment of simple obesity induced by spleen-deficiency and phlegm-stagnation are alwys used damp-clearing drug, digestant drugs and purgating drug.

参考文献/References:

[1] 姜勇,张梅,李镒冲,等. 2010年我国中心型肥胖流行状况及腰围分布特征分析[J].中国慢性病预防与控制,21(3),288-291.
[2] 姜勇,张梅,李晓燕,等. 2010年我国正常体重成人中心型肥胖流行状况分析[J].中国预防医学杂志,2013,14(6):449-453.
[3] 李建华,胡金林.山楂的药理作用与临床应用[J].中国药物滥用防治杂志,2011,17(6):334-338.
[4] 张廷模,陈先难,文昌凡.中药学[M].中国中医药出版社,2000,(5):98.
[5] 邓中甲,李翼,连建伟.方剂学[M].中国中医药出版社,2003:320-321.

相似文献/References:

[1]毛斌,吴宏赟,胡志强,等.关联规则在方剂数据挖掘中的应用述评[J].环球中医药,2013,6(10):791.
　MAO Bin,WU Hong yun,HU Zhi qiang..Commentary: Application of association rules in prescriptions data mining[J].,2013,6(05):791.

备注/Memo

备注/Memo:

基金项目: 上海市科学技术委员会科研计划(15ZR1442200); 上海市卫计委中医药专项基金(2012J002A)
作者简介: 姚婷(1990- ),女,2014级在读硕士研究生,住院医师。研究方向:小儿内分泌系统疾病。E-mail:y_aoting@126.com
通信作者: 赵鋆(1971- ),女,博士,硕士生导师,副教授,主任医师。研究方向:小儿临床方向:E-mail:annezhao@sina.com

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更新日期/Last Update: 2017-05-06