基于多项相关系数下探索性因子分析在高血压中医证候中的应用

发布时间：2018-04-24 13:35

  本文选题：探索性因子分析 + 中医证候　； 参考：《现代预防医学》2017年17期

【摘要】：目的探讨基于多项相关系数下探索性因子分析在中医中二分类及等级资料的应用,并与传统因子分析模型的结果进行比较。方法分别采用传统因子分析及多项相关系数下因子分析对1 500例高血压病中医的临床四诊信息进行分析。结果两种方法得到的结果较为相似,但基于多项相关系数下因子分析的载荷系数较传统因子分析的载荷系数大。高血压病的主要证候有肝肾阴虚、心肾两虚、阴虚阳亢、肝火亢盛及痰浊内蕴。结论基于多项相关系数下探索性因子分析方法可用于高血压病中医证候的分析,在一定程度上揭示了其主要特点。
[Abstract]:Objective to explore the application of exploratory factor analysis based on multiple correlation coefficients in two classification and grade data of traditional Chinese medicine, and to compare the results with the traditional factor analysis model. Methods traditional factor analysis and multiple correlation coefficient factor analysis were used to analyze the clinical information of 1 500 cases of hypertension. Results the results obtained by the two methods are similar, but the load coefficients based on multiple correlation coefficients are larger than those of traditional factor analysis. The main syndromes of hypertension include deficiency of liver and kidney yin, deficiency of heart and kidney, hyperactivity of yang of yin deficiency, hyperactivity of liver fire and accumulation of turbid phlegm. Conclusion the exploratory factor analysis method based on multiple correlation coefficients can be used to analyze TCM syndromes of hypertension and reveal its main characteristics to some extent.
【作者单位】： 东南大学公共卫生学院;南京中医药大学附属常州中医院;南京大学医学院附属鼓楼医院;
【基金】：国家自然科学基金资助(编号:81273190)
【分类号】：R259
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本文编号：1796854