聚类分析结合logistic回归分析在中医证候诊断量化研究中的应用探讨  

Exploration of Cluster Analysis and Logistic Analysis on Quantitive Diagnosis of Syndromes in Chinese Medicine

作　　者：陈建设[1] 陈文垲[2] 

机构地区：[1]河南省中医院,450002 [2]南京中医药大学,210029

出　　处：《中国卫生统计》2009年第4期379-382,共4页Chinese Journal of Health Statistics

摘　　要：目的探讨现代统计学方法在中医证候量化诊断研究中的应用。方法以样本聚类分析结合二分类lo-gistic回归分析应用于胃脘痛证候量化研究。结果样本聚类分析将808例胃脘痛患者分为四类,二分类logistic回归分析对此四类患者的证候特征进行量化分析,显示他们分别代表脾胃虚寒证、胃热阴伤证、脾胃湿热证和肝胃郁热证。结论采用聚类分析和logistic回归分析结合的方法,可以探讨中医证候分类及量化诊断规律。Objective To explore the usage of modem statistics on quantitive diagnosis of syndromes in Chinese medicine. Methods Sample cluster analysis and binary logistic regression analysis were used to analyze the syndromes of gastric abscess. Results Sample duster anal- ysis classified 808 patients into 4 sorts and binary logistic regression analy- sis analyzed the characteristics of syndromes of the sorts. They denote the syndromes of deficiencycold of spleen and stomach, overabundant gastric heat and deficiency of gastric Yin, splenogastric hygropyrexia and blocked heat between liver and stomach. Condusion Cluster analysis and logistic analysis can explore the rules of classification and quantitive diagnosis of syndromes in Chinese medicine.

关 键 词：聚类分析 LOGISTIC回归分析 胃脘痛 证候 量化诊断 

分 类 号：R241[医药卫生—中医诊断学]