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基于数据挖掘探析中医药治疗儿童慢性腹泻用药规律
黄晶晶,许增华
0
(江西中医药大学,江西 南昌,330004;江西省儿童医院,江西 南昌,330006)
摘要:
目的:基于数据挖掘探析中医药治疗儿童慢性腹泻的组方规律。方法:计算机检索2002年1月1日至2022年1月1日中国知网(CNKI)、万方数据(WANFANG DATA )、维普中文科技期刊数据库(VIP)中关于中医药治疗儿童慢性腹泻的文献,运用数据挖掘技术对相关药物进行频次分析、关联规则分析及系统聚类分析。结果:获得文献125篇,方剂155首,药物142味。药物总使用频次为1506次,单味药物使用频次排名前5位的药物分别为白术、茯苓、党参、陈皮、甘草;药物功效种类17类,频次排名前5位的分别是补虚药、利水渗湿药、收涩药、理气药、化湿药;药性以温、平、寒为主,药味以甘、辛、苦为主,归经以脾、胃、肺、肾经为主。得到药对关联规则18条,置信度>90%的药对4条,分别是白术→诃子、茯苓→广藿香、白术→莲子、茯苓→砂仁;频率较高的药对8组,分别为白术-茯苓、白术-党参、茯苓-党参、白术-陈皮、茯苓-陈皮、白术-山药、茯苓-山药、茯苓-木香。对频次≥10次的药物进行系统聚类分析,得到核心药物组合4组。结论:中医药治疗儿童慢性腹泻以补脾抑肝温肾为主,对于疗效不佳、久治不愈者,可从理气、化瘀等方面进行辨证施治。
关键词:  慢性腹泻,儿童  中医药疗法  数据挖掘  用药规律
DOI:
Medication rule of traditional Chinese medicine treatment of children with chronic diarrhea:An analysis based on data mining
HUANG Jingjing,XU Zenghua
(Jiangxi University of Traditional Chinese Medicine,Nanchang 330004,Jiangxi,China;Jiangxi Provincial Children’s Hospital,Nanchang 330006,Jiangxi,China)
Abstract:
Objective:To investigate the prescription rule of traditional Chinese medicine (TCM) treatment of children with chronic diarrhea based on data mining.Methods:CNKI,Wanfang Data,and VIP were searched for articles on TCM treatment of children with chronic diarrhea published from January 1,2002 to January 1,2022,and data mining techniques were used to perform frequency analysis,association rule analysis,and hierarchical cluster analysis of related drugs.Results:A total of 125 articles were obtained,involving 155 prescriptions and 142 TCM drugs.The drugs were used 1506 times in total.The top 5 drugs in terms of frequency were Atractylodes macrocephala Koidz.,Poria cocos,Codonopsis pilosula,tangerine peel,and Radix Glycyrrhizae;there were 17 types of drugs in terms of function,among which the top 5 types of drugs were deficiency-tonifying drugs,diuresis-inducing and dampness-draining drugs,astringency-inducing drugs,Qi-regulating drugs,and dampness-resolving drugs;most drugs were warm,neutral or cold in nature and sweet,pungent,and bitter in taste and mainly entered the spleen,gastric,lung,and kidney meridians.A total of 18 association rules were obtained for drug combinations,among which 4 drug combinations had a confidence of >90%,i.e.,Atractylodes macrocephala Koidz.→Medicine Terminalia Fruit,Poria cocos→Pogostemon cablin,Atractylodes macrocephala Koidz.→lotus seed,and Poria cocos→Amomum villosum;there were 8 drug combinations with a relatively high frequency,i.e.,Atractylodes macrocephala Koidz.-Poria cocos,Atractylodes macrocephala Koidz.-Codonopsis pilosula,Poria cocos-Codonopsis pilosula,Atractylodes macrocephala Koidz.-tangerine peel,Poria cocos-tangerine peel,Atractylodes macrocephala Koidz.-Dioscorea opposita,Poria cocos-Dioscorea opposita,and Poria cocos-Saussurea costus.A hierarchical cluster analysis was performed for the drugs with a frequency of ≥10 times,and 4 core drug combinations were obtained.Conclusion:TCM treatment focuses on tonifying the spleen,suppressing the liver,and warming the kidney in the treatment of children with chronic diarrhea,and syndrome differentiation-based treatment can be performed for children with a poor treatment outcome and a long course of treatment from the aspects of regulating Qi and removing stasis.
Key words:  chronic diarrhea  child  traditional Chinese medicine treatment  data mining  medication rule

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