摘要
针对中医证的多维性、非线性和复杂性的特点,文章以多元统计学方法为切入点,以logistic回归分析、聚类分析、判别分析、主成分典型相关分析与因子分析等常见的统计方法为例,对其在中医诊断学中的应用进行总结、分析。同时,结合中医传统理论及其数理思想和方法,发现其在中医辨证中有一定的适用性,也存在一定的问题。
According to the characteristics of multidimension,nonlinearity and complexity of traditional Chinese medicine(TCM)syndrome,this paper is based on the multivariate statistical methods,and takes logistic regression analysis,cluster analysis,discriminant analysis,typical correlation analysis,principal component analysis and other common statistical methods as examples to summarize and analyze the application in TCM diagnostics.At the same time,combined with the traditional theory of TCM and its mathematical thoughts and methods,it is found that it has certain applicability and problems in TCM syndrome differentiation.
作者
夏淑洁
蔡晶
雷黄伟
詹杰
周智慧
李灿东
XIA Shujie;CAI Jing;LEI Huangwei;ZHAN Jie;ZHOU Zhihui;LI Candong(Research Base of Traditional Chinese Medicine Syndrome,Fujian University of Traditional Chinese Medicine,Fuzhou 350122,China;FuJian Key Laboratory of Traditional Chinese Medicine Health State,Fuzhou 350122,China;College of Integrative Chinese and Western Medicine,Fujian University of Traditional Chinese Medicine,Fuzhou 350122,China)
出处
《天津中医药》
CAS
2020年第8期849-853,共5页
Tianjin Journal of Traditional Chinese Medicine
基金
国家自然科学基金联合基金项目(U1705286)
国家中医药管理局标准化重大项目(GZY-FJS-2017-64)。
关键词
LOGISTIC回归分析
聚类分析
判别分析
因子分析
典型相关分析
中医诊断
应用分析
logistic regression analysis
cluster analysis
discriminant analysis
factor analysis
canonical correlation analysis
traditional Chinese medicine diagnosis
application analysis
