基于数据挖掘的小儿肺炎中医辨证分型研究  

Study on Syndrome Differentiation and Classification of Pediatric Pneumonia based on Data Mining

作　　者：刘宾[1] LIU Bin(School of Basic Medicine,Henan University of Traditional Chinese Medicine,Zhengzhou 450046,China)

机构地区：[1]河南中医药大学基础医学院,郑州450046

出　　处：《江西中医药大学学报》2022年第2期53-55,共3页Journal of Jiangxi University of Chinese Medicine

摘　　要：收集近11年小儿肺炎中医辨证分型的文献报道,采用灰色系统理论方法对文献中报道的中医证型数据序列计算灰色绝对关联度并进行灰色聚类分析,将得到的17个证型聚类分为邪袭肺卫,风热闭肺、痰湿阻滞,寒邪外袭、热毒闭肺伴气阴两虚,寒热错杂、气机逆乱伴气虚血瘀,心阳虚衰、邪陷厥阴等5个大类,为进一步制定小儿肺炎中医证候诊断标准和疗效评价标准提供参考依据。The literature reported abount TCM syndrome differentiation of pediatric pneumonia in recent 11 years were collected.The grey system theory was used to calculate the grey absolute correlation degree of the data series of TCM syndrome types reported in the literature,and the grey cluster analysis was carried out.The 17 syndrome types were clustered as follows:evil attacking Feiwei;wind heat blocking lung and phlegm dampness blocking;external attack of cold evil,heat toxin closing lung with deficiency of Qi and Yin;mixed cold and heat,disordered Qi mechanism,accompanied by qi deficiency and blood stasis;heart yang deficiency and decline,evil trap Jueyin,which were classified into 5 major categories.These can provide reference and basis for further formulating TCM syndrome diagnosis criteria and curative effect evaluation criteria of pediatric pneumonia.

关 键 词：小儿肺炎 中医辨证 中医证型 灰色聚类 

分 类 号：R272.6[医药卫生—中医儿科学]