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脑卒中发病预警模型研究

Research on Early Warning Model of the Stroke Incidence
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摘要 以2012年全国大学生数学建模竞赛C题为背景,对脑卒中住院病例中的高危人群进行了统计分析,用主成分分析法建立高危人群的预警模型,并给出发病率高低判断的程序流程图及一些干预措施. Based on the 2012 National Undergraduate Mathematical Contest in modeling C ( MCM), the article gives data filtering on stroke impatients in high-risk. The principal component analysis method is used to estab lish early warning model of populations at risk. Program flow diagram to judge the incidence level and some inter vention measures are given.
作者 夏英
出处 《兰州工业高等专科学校学报》 2012年第6期55-58,共4页 Journal of Lanzhou Higher Polytechnical College
关键词 脑卒中 统计分析 主层次分析法 stroke data filtering the principal component analysis method
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