Application and Prospect of Multivariate Statistical Analysis in TCM Syndrome Classification
10.3969/j.issn.1005-5304.2015.08.039
- VernacularTitle:多元统计学方法在中医证候分类识别中的应用及展望
- Author:
Weifei XU
;
Guoping LIU
;
Yiqin WANG
- Publication Type:Journal Article
- Keywords:
multivariate statistical analysis;
TCM;
syndrome;
review
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2015;22(8):124-128
- CountryChina
- Language:Chinese
-
Abstract:
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.