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Research On The Association Between Physical Health And Hypertension In Adolescents Based On Big Data

Posted on:2021-08-09Degree:MasterType:Thesis
Country:ChinaCandidate:K HuangFull Text:PDF
GTID:2517306539455224Subject:Human Movement Science
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Objective: To further explore the hidden disease information in the physical health test data of students,explore the correlation between the physical health index of primary and secondary school students and hypertension,and give early warning of hypertension,so as to reduce the incidence of hypertension in adolescents from the perspective of improving physical health.Methods:This article mainly using the literature material method,experimental method,mathematical statistics,research methods,such as support vector machine(SVM)algorithm,riverbank district in Wuhan city in 2017 primary and middle school students as the research object,by constructing a potential prediction model of hypertension,and excavate primary and middle school students' physical health test indicators,potential hidden in hypertension disease information.Results :(1)The normal body shape rate of primary school students in Jiangan district of Wuhan city was 67%-80%,and that of middle school students was 59-75%.The best SVM combination value of BMI for primary school students was(-0.27,-1.7715)and middle school students was(0.83,-12.6438).Primary school students in the low weight range and secondary school students in the overweight obesity range are more likely to have high blood pressure.(2)The passing rate of physical function of primary school students in Jiangan district of Wuhan city is 77%-97%,and that of middle school students is 86%-93%.The best SVM combination value of primary school students' lung capacity(-1.8,-0.0074)was-0.3,-0.0068).The test score of primary school students' vital capacity is about 30 points,and middle school students' high blood pressure is about 70 points.(3)The passing rate of speed quality of primary school students in Jiangan district of Wuhan city is 68%-82%,and that of middle school students is 63%-77%.The best SVM combination value was(0.5,-0.0044)for primary school students was(-0.30,-0.0082)for junior high school students;Under the condition of good and failure,the probability of hypertension is high.(4)The qualified rate of endurance quality of middle school students in the riverbank district of Wuhan was 36%-56%,and the best SVM combined value of 1000 m /800 m race was(-1.6,-0.0207).The lower the endurance,the higher the risk of hypertension.Conclusions:(1)The body shape of primary and middle school students is well developed,the body function level is fair,the speed quality,the endurance quality is not optimistic.(2)The prediction model constructed by SVM method can effectively reflect the potential information of hypertension in primary and secondary school students and can be correlated.
Keywords/Search Tags:Big data, Physical health of adolescents, High blood pressure, Support vector machine
PDF Full Text Request
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