ISSN 1674-3865  CN 21-1569/R
主管：国家卫生健康委员会
主办：中国医师协会
　　　辽宁省基础医学研究所
　　　辽宁中医药大学附属医院
中国中西医结合儿科学

中国中西医结合儿科学 ›› 2021, Vol. 13 ›› Issue (3): 208-212.

• 临床研究 • 上一篇    下一篇

基于关联规则apriori算法的儿童慢性咳嗽证素研究

目的: 运用统计学的关联规则apriori算法探究儿童慢性咳嗽病位与病性及证型的分布与组合规律。
方法: 检索文献库中关于儿童慢性咳嗽的文献，提取共同证素，得出病位与病性的频率分布并通过聚类分析得出常见证素名称，统计常见证素与之对应的证型，通过apriori算法得出各证素之间的关联规则以反应儿童慢性咳嗽病因病机规律。
结果: 通过对文献中证型与病位、病性证素的拆分与组合统计，共收录关于儿童慢性咳嗽合格文献145篇，共记录证素1043条，其中病位证素以肺、脾、肾、胃、肝出现频率最高；病性证素以痰、火、气逆、风、燥、湿出现频率最高。关联规则：（1）外感性慢性咳嗽：病位与病性证素关联：风，燥==>肺（0.286）；（2）内伤性慢性咳嗽：病位证素关联：脾==>肺（0.808）、病性证素关联：湿==>热（0.649）、病性与病位证素关联：气虚==>肺，脾（0.863）。
结论: 结合小儿三不足两有余的生理特点，儿童慢性咳嗽的主要病位在肺、脾、肾、肝；与水液代谢关系密切，为临床上从燥、湿角度辨析慢性咳嗽提供辨证思路。   

  1. 110032 沈阳，辽宁中医药大学2018级中医儿科专业研究生（王雪飞，任园园，钟润锋）；辽宁中医药大学附属医院儿科（吴振起）
  • 出版日期:2021-06-25 发布日期:2021-12-15
  • 通讯作者: 吴振起，E-mail：zhenqiwu@163.com
  • 作者简介:王雪飞(1993)，男，辽宁中医药大学2018级硕士研究生在读。研究方向：中医药防治感染性疾病
  • 基金资助:
    辽宁省高等学校创新人才支持计划（LR2019040）；国家自然科学基金面上项目（81373687）

Research on children′s chronic cough syndrome based on association rule apriori algorithm

Objective: To use the statistical association rule apriori algorithm to explore the distribution and combination laws of the disease location,disease nature and syndrome types of chronic cough in children.#br# Methods: The literatures on children′s chronic cough in the literature databases were searched,common syndrome factors were extracted,the frequency distribution of disease location and disease nature was obtained,and the names of common syndrome factors were got through cluster analysis.The common syndrome elements and their corresponding syndrome types were counted.Through the apriori algorithm the association rules among the various syndrome elements were worked out to reflect the etiology and pathogenesis of chronic cough in children.#br# Results: According to the statistics of the classification and combination of syndrome types,disease locations,and disease factors in the literature,a total of 145 qualified literatures on chronic cough in children were collected,and a total of 1 043 syndrome factors were recorded.Among them,the disease location syndrome factors were lung,spleen,kidney,stomach,and liver had the highest frequency.Disease syndrome elements such as phlegm,fire,qi inverse,wind,dryness and dampness had the highest frequency.Association rules:(1)Exogenous chronic cough:the location of the disease was related to the disease element:wind,dryness ==> lung (0.286).(2)Internal traumatic chronic cough:the location of the disease element was correlated:spleen ==> lung(0.808).Disease syndrome factors were correlated:wet ==> heat(0.649);disease nature was related to disease location syndrome factors:Qi deficiency ==> lung,spleen(0.863).#br# Conclusion: Based on the physiological characteristics of children with three deficiencies and two excesses,the main diseases locations of children′s chronic cough are lung,spleen,kidney and liver;it is closely related to water metabolism,which provides a dialectical idea for the clinical differentiation of chronic cough from the perspective of dryness and dampness.   

  1. Liaoning University of Traditional Chinese Medicine,Shenyang 110032，China
  • Online:2021-06-25 Published:2021-12-15

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摘要： 目的: 运用统计学的关联规则apriori算法探究儿童慢性咳嗽病位与病性及证型的分布与组合规律。
方法: 检索文献库中关于儿童慢性咳嗽的文献，提取共同证素，得出病位与病性的频率分布并通过聚类分析得出常见证素名称，统计常见证素与之对应的证型，通过apriori算法得出各证素之间的关联规则以反应儿童慢性咳嗽病因病机规律。
结果: 通过对文献中证型与病位、病性证素的拆分与组合统计，共收录关于儿童慢性咳嗽合格文献145篇，共记录证素1043条，其中病位证素以肺、脾、肾、胃、肝出现频率最高；病性证素以痰、火、气逆、风、燥、湿出现频率最高。关联规则：（1）外感性慢性咳嗽：病位与病性证素关联：风，燥==>肺（0.286）；（2）内伤性慢性咳嗽：病位证素关联：脾==>肺（0.808）、病性证素关联：湿==>热（0.649）、病性与病位证素关联：气虚==>肺，脾（0.863）。
结论: 结合小儿三不足两有余的生理特点，儿童慢性咳嗽的主要病位在肺、脾、肾、肝；与水液代谢关系密切，为临床上从燥、湿角度辨析慢性咳嗽提供辨证思路。

关键词: 慢性咳嗽, 证素学, 数据挖掘, 聚类分析, 关联规则, apriori算法, 儿童

Abstract: Objective: To use the statistical association rule apriori algorithm to explore the distribution and combination laws of the disease location,disease nature and syndrome types of chronic cough in children.
Methods: The literatures on children′s chronic cough in the literature databases were searched,common syndrome factors were extracted,the frequency distribution of disease location and disease nature was obtained,and the names of common syndrome factors were got through cluster analysis.The common syndrome elements and their corresponding syndrome types were counted.Through the apriori algorithm the association rules among the various syndrome elements were worked out to reflect the etiology and pathogenesis of chronic cough in children.
Results: According to the statistics of the classification and combination of syndrome types,disease locations,and disease factors in the literature,a total of 145 qualified literatures on chronic cough in children were collected,and a total of 1 043 syndrome factors were recorded.Among them,the disease location syndrome factors were lung,spleen,kidney,stomach,and liver had the highest frequency.Disease syndrome elements such as phlegm,fire,qi inverse,wind,dryness and dampness had the highest frequency.Association rules:(1)Exogenous chronic cough:the location of the disease was related to the disease element:wind,dryness ==> lung (0.286).(2)Internal traumatic chronic cough:the location of the disease element was correlated:spleen ==> lung(0.808).Disease syndrome factors were correlated:wet ==> heat(0.649);disease nature was related to disease location syndrome factors:Qi deficiency ==> lung,spleen(0.863).
Conclusion: Based on the physiological characteristics of children with three deficiencies and two excesses,the main diseases locations of children′s chronic cough are lung,spleen,kidney and liver;it is closely related to water metabolism,which provides a dialectical idea for the clinical differentiation of chronic cough from the perspective of dryness and dampness.

Key words: Chronic cough, Syndromes, Data mining, Cluster analysis, Association rules, Apriori algorithm, Children