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基于模糊理论和大数据的医学院校学生体质健康测试结果分析
引用本文:刘毅,王德瑜,陈阳阳,李秋平,彭婵.基于模糊理论和大数据的医学院校学生体质健康测试结果分析[J].湖北体育科技,2017,36(1).
作者姓名:刘毅  王德瑜  陈阳阳  李秋平  彭婵
作者单位:湖南中医药高等专科学校,湖南 株洲,412012
基金项目:2016年湖南省普通高等学校教学改革研究项目(SJ20161108);2014年湖南省教育厅科学研究项目(14C0883);“十二五”国家中医药管理局中医药重点学科建设推拿学科项目。
摘    要:基于2014年国家最新颁布的《学生体质健康标准》和湖南省医学院校体测大数据,运用模糊理论,对其进行研究与分析。研究表明湖南省医学院校学生体质健康测试结果不太理想,主要集中在及格区域,达到优秀和良好的学生比例男生仅为1.68%、女生0.73%,且男生7.54%没有达到及格要求。

关 键 词:模糊理论  大数据  医学院校  学生  体质健康测试

An Analysis of Medical College Students’ Constitution and Health Test Results Based on Fuzzy Theory and Large Data
LIU Yi,WANG Deyu,CHEN Yangyang,LI Qiuping,PENG Chan.An Analysis of Medical College Students’ Constitution and Health Test Results Based on Fuzzy Theory and Large Data[J].Journal of Hubei Sports Science,2017,36(1).
Authors:LIU Yi  WANG Deyu  CHEN Yangyang  LI Qiuping  PENG Chan
Abstract:Based on Student Physical Health Standard latest version issued by the government in 2014, this thesis has done researches and analysis on Hunan Medical colleges' health test data with the Fuzzy Theory. Conclusion: The results of physical health test of medical college students in Hunan province were not satisfactory, which were centralized in a passing level. The proportion of good and excellent scores in boys was only 1.68%, girls was 0.73%, 7.54% of boys failed to reach the passing level. According to the actual situation, this thesis analyzed the causes and put forward some specific suggestions.
Keywords:fuzzy theory  large data  medical college  student  Physical Health Test
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