NDLI: Model of Environmental Reason Analysis and Prevention of Stroke on Linear Regression

Content Provider	IEEE Xplore Digital Library
Author	Tianxiang Feng Qiujie Zhang
Copyright Year	2015
Description	Author affiliation: Dept. of Basic Courses, Dongguan Polytech., Dongguan, China (Tianxiang Feng; Qiujie Zhang)
Abstract	For the C title of 2012 China Undergraduate Mathematical Contest in Modeling, the influential factors of stroke are analyzed. Using the data in Appendix-C1, a statistical description of the patients is made by EXCEL. And then combined with the climate data in Appendix-C2, several mathematical models are established to analyze the relationship between stroke incidence and the climatic conditions by the regression function of EXCEL and SPSS software. The results show that there are seasonal changes in the stroke incidence: in the first quarter, because of the high atmosphere pressure, low temperature and low humidity, especially the violent change of these factors, the stroke incidence would be increased. The results can confirm the medical theory "The seasonal distribution of stroke is induced by the climatic factors." from a statistical point of view. Finally, based on the processing results, some early warning and guidance are suggested to the high-risk groups of stroke.
Starting Page	74
Ending Page	77
File Size	481538
Page Count	4
File Format	PDF
e-ISBN	9781467386609
DOI	10.1109/CIS.2015.26
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation coefficient Temperature distribution EXCEL Fitting Atmosphere ?-square test Humidity regression analysis SPSS Mathematical model statistical analysis stroke
Content Type	Text
Resource Type	Article

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