隐结构法中的中医诠释思路和方法——血管源性轻度认知障碍数据分析

Thoughts and methods of interpretation on TCM in latent structure analysis: Data analysis on vascular mild cognitive impairment

隐结构法是运用隐树分析提取中医症状分布规律,为辨证分型提供证据的新方法,近年来其已经应用于一些疾病的中医证候研究中。以一组血管源性轻度认知障碍数据为例,对此方法使用过程中的中医诠释思路和方法进行介绍,使隐结构法的操作方法、流程进一步完善、规范,以贴近现代中医证候研究标准化、规范化、定量化的要求,也为血管源性轻度认知障碍中医证候规范化研究奠定基础。

Latent structure analysis is a new method used for finding distribution laws of TCM symptoms and providing proofs for syndrome differentiation by latent tree analysis, which is applied to TCM syndrome researches of some diseases recently. This paper takes a data set about vascular mild cognitive impairment （VMCI） for example, and introduces the thoughts and methods of interpretation on TCM in latent structure analysis. This study can perfect and standardize the method and process of latent structure analysis to meet the requirements of modem TCM syndrome researches, and lays a foundation for the TCM syndrome research of VMCI.