The Analysis of Stroke Incidence Based on the Multivariate Successive Regression Analysis

DOI

10.2991/nceece-15.2016.42How to use a DOI?

Keywords

Stroke; MATLAB Programming; Residuals; Multivariate Successive Regression Analysis

Abstract

Stroke is a common serious threat to human health and life. This article uses multivariate successive regression analysis methods discussed the relationship between incidence and average pressure, pressure difference, average temperature, temperature difference and the average humidity. Through statistical data we obtained the number of cases each year for each month and the incidence of personnel, as well as the number of cases with different gender, age and occupation to obtain a four-year comprehensive monthly temperature data. Finally, summary the results of the etiology of stroke and proposed early warning and intervention programs for high-risk groups.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Gaofeng Hui
PY  - 2015/12
DA  - 2015/12
TI  - The Analysis of Stroke Incidence Based on the Multivariate Successive Regression Analysis
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 212
EP  - 217
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.42
DO  - 10.2991/nceece-15.2016.42
ID  - Hui2015/12
ER  -