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多元统计方法在中医诊断研究中的应用
夏淑洁1,2, 蔡晶3, 雷黄伟1,2, 詹杰1,2, 周智慧1,2, 李灿东1,2
1.福建中医药大学中医证研究基地, 福州 350122;2.福建省中医健康状态辨识重点实验室, 福州 350122;3.福建中医药大学中西医结合学院, 福州 350122
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。
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
DOI:10.11656/j.issn.1672-1519.2020.08.03
分类号:R241
基金项目: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)。
Application of multivariate statistical method in the diagnosis of traditional Chinese medicine
XIA Shujie1,2, CAI Jing3, LEI Huangwei1,2, ZHAN Jie1,2, ZHOU Zhihui1,2, LI Candong1,2
1.Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China;2.FuJian Key Laboratory of Traditional Chinese Medicine Health State, Fuzhou 350122, China;3.College of Integrative Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
Abstract:
According to the characteristics of multi-dimension,non-linearity 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.
Key words:  logistic regression analysis  cluster analysis  discriminant analysis  factor analysis  canonical correlation analysis  traditional Chinese medicine diagnosis  application analysis
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