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Study on association of stroke and hemorheology based on factor cluster analysis

机译:基于因子和聚类分析的中风与血液流变学关联性研究

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To investigate the association of hemorheology and stroke, and to provide a scientific basis for the clinical features of hemorheology in patients with stroke, a large number of hemorheology data of patients with stroke were collected, and with factor analysis, five unrelated common factors were extracted from 9 indicators of the stroke patients including hemorheology, age and sex, etc., which were then classified with cluster analysis after orthogonal rotation according to common factor scores. The results of cluster were divided into 4 categories, i.e. male under 60, male over 60, female under 60 and female over 60. The results show that by combination of factor and cluster analysis methods, the clinical features of stroke can be scientifically classified. The factor and cluster analysis are of great value in the diagnosis and prevention of stroke
机译:为了研究血液流变学与中风的相关性,并为中风患者血液流变学的临床特征提供科学依据,收集了大量中风患者的血液流变学数据,并通过因素分析,提取了五个无关的共同因素从中风病患者的9个指标(包括血液流变学,年龄和性别等)中进行分类,然后根据公共因素评分,在正交旋转后进行聚类分析。聚类结果分为男性60岁以下,男性60岁以上,女性60岁以下,女性60岁以上4类,结果表明,结合因子分析和聚类分析方法,可以对脑卒中的临床特征进行科学分类。因子分析和聚类分析在中风的诊断和预防中具有重要的价值。

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