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The Relationship between Stroke Incidence and Meteorological Factors and Predictive Model

机译：中风发病率与气象因素的关系及预测模型

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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.
机译：对脑卒中发病率与气象因素之间关系的系统统计分析表明，气温，气压，相对湿度与发病率之间存在显着的二次相关性。建立线性回归模型和BP人工神经网络模型，以定量描述发病率与气象因素之间的关系。此外，通过与实际发生率的比较，设计了一种更准确的预测模型，并对高危脑卒中提出了一些建议。

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