The Relationship between Stroke Incidence and Meteorological Factors and Predictive Model

doi:10.1109/ICAICA50127.2020.9181888

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	The Relationship between Stroke Incidence and Meteorological Factors and Predictive Model
	Yang, Mei
	2020-06-01
会议录名称	Proceedings of 2020 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2020
页码	1357-1362
会议名称	2020 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2020
会议日期	June 27, 2020 - June 29, 2020
会议地点	Dalian, China
出版者	Institute of Electrical and Electronics Engineers Inc.
摘要	The systematic statistical analysis of the relationship between cerebral stroke incidence and meteorological factors in this paper shows that there is a significant secondary correlation between air temperature, air pressure, relative humidity and incidence. A linear regression model and a BP artificial neural network model are established to obtain a quantitative description of the relationship between incidence and meteorological factors. Furthermore, a more accurate prediction model is designed by comparison with the actual incidence, and some recommendations are put forward for high-risk cerebral stroke. © 2020 IEEE.
关键词	Atmospheric temperature Backpropagation Neural networks Regression analysis Accurate prediction Air pressures Air temperature BP artificial neural network models Linear regression models Meteorological factors Predictive modeling Quantitative description
DOI	10.1109/ICAICA50127.2020.9181888
收录类别	EI
语种	英语
EI入藏号	20204109328154
原始文献类型	Conference article (CA)
文献类型	会议论文
条目标识符	https://ir.cqcet.edu.cn/handle/39TD4454/3437
专题	重庆电子科技职业大学通识教育与国际学院
作者单位	College of General Education and International Studies, Chongqing College of Electronic Engineering, Chongqing, China
第一作者单位	重庆电子科技职业大学
推荐引用方式 GB/T 7714	Yang, Mei. The Relationship between Stroke Incidence and Meteorological Factors and Predictive Model[C]:Institute of Electrical and Electronics Engineers Inc.,2020:1357-1362.

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