中医证候标准化、客观化、规范化研究,是现今继承发展中医的重点、难点和热点问题.随着计算机技术发展和多学科融合交叉的广泛应用,探索中医证候分类识别研究的方法层出不穷.本文就多元统计学方法在中医证候分类识别中的应用现状予以分析,总结了聚类分析、主成分分析和因子分析、判别分析和Logistic 回归分析及结构方程模型在证候分类识别中的应用现状及存在的问题,为进一步研究中医证候分类识别方法提供一定参考.%Standardization, objectification, and normalization of TCM syndromes are emphasis, difficulty, and hot issue of inheritance and development of TCM.With the technological development of computer and extensive application of multi-disciplinary integration, research methods for the identification of TCM syndrome classification emerge in endlessly. This article analyzed the application status of multivariate statistical analysis in the identification of TCM symdrome classification, summarized application status and existing problems of cluster analysis, PCA and factor analysis, discriminant analysis and Logistic regression analysis, and structure equation model in the identification of TCM symdrome classification, which provided references for further studies on identification methods of TCM symdrome classification.
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