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基于多元统计分析方法的原发性高血压肝阳上亢证判别模型的建立
Establishing standards of measuring essential hypertension with hyperactive of liver-Yang syndrome based on multivariate analysis of statistics
【摘要】 收集了古今医案中与原发性高血压相关的305例病例,对各种症状和体征进行语言规范化处理及量化赋值,采用χ2检验或秩和检验筛选出对肝阳上亢证与非肝阳上亢证有鉴别意义的指标,并利用SPSS16.0统计软件对其进行非条件的Logistic回归分析,建立原发性高血压肝阳上亢证最佳的判别模型,从而为原发性高血压肝阳上亢证证候客观化研究提供依据。
【Abstract】 305 cases relating to essential hypertension from ancient and modern medical records date were collected,and symptoms of these patients were standardized and quantized.Picked out the variables that could differentiate hyperactive of liver-Yang syndrome from non-hyperactive liver-Yang syndrome with chi-square test or rank sum test.Non-conditional logistic regression by SPSS 16.0 were applied to develop the best predictive models of essential hypertension with hyperactive of the liver-Yang syndrome.With that,the research provide references for objectification of essential hypertension with hyperactive of the liver-Yang syndrome.
【Key words】 essential hypertension； hyperactive of liver-Yang syndrome； chi-square test； rank sum test； non-conditional logistic regression； objectification of syndrome；
- 【文献出处】 山东中医药大学学报 ,Journal of Shandong University of Traditional Chinese Medicine , 编辑部邮箱 ,2010年01期
- 【分类号】R259
- 【被引频次】12
- 【下载频次】348