The Analysis of Stroke Incidence Based on the 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. Introduction Stroke (commonly known as stroke) is a serious disease that currently threatens human life and its occurrence is a long process, once the disease is difficult to reverse. Induce the disease has been linked to environmental factors, including the presence of a close relationship between air temperature and humidity. Environmental factors on the incidence of stroke were analyzed, its purpose is to conduct a risk assessment of the disease, stroke risk groups to take timely interventions, but also to the health of people not yet sick, or sub-health people have to know their level of risk of stroke to protect themselves. At the same time, through the establishment of a data model, master morbidity of law, for health authorities and medical institutions, medical reasonable allocation of power, improve diagnosis and treatment environment, the configuration of beds and medical drugs and so it has practical significance. Data (see Appendix-C1) from some city hospitals Chinese stroke patients’ information from January 2007 to December 2010 and the corresponding period of local daily meteorological data (Appendix-C2). According to data provided by the subject, carried out on the following issues: 1. Based on the patient's information, statistical description of the incidence of people. 2. Mathematical model of relationship incidence of stroke and air temperature, barometric pressure, relative humidity between. 3. Read and collect documents important features and key indicators related to stroke risk populations, combined with 1 and 2 in the conclusions of the high-risk groups to make recommendations early warning and intervention programs. The Description of Symbols Symbolic Significance 1 x The average monthly air pressure 2 x Monthly air pressure difference 3 x The average monthly temperature 4 x Monthly temperature difference 5 x The average monthly humidity y Monthly incidence 4th National Conference on Electrical, Electronics and Computer Engineering (NCEECE 2015) © 2016. The authors Published by Atlantis Press 212 The Analysis of Problems and Solutions Data processing and statistics. In the process of statistical data processing, the use of EXCEL and VB program for statistical data. Due to the large amount of data errors, so we put all the wrong data in accordance with the ratio of the total of valid information is allocated validity of information, reached the following types of statistics. 1, 2007 2010, the monthly number of cases and the incidence of personnel statistics are as follows: Table 1 Month 2007 2008 2009 2010 Total Mean Num Incidence Num Incidence Num Incidence Num Incidence Jan 934 0.0705 1825 0.0958 869 0.0803 1745 0.0876 5373 1343 Feb 732 0.0552 1955 0.1026 847 0.0783 1798 0.0903 5332 1333 Mar 1018 0.0768 1917 0.1006 789 0.0729 1725 0.0866 5449 1362 Apr 1069 0.0807 1763 0.0926 860 0.0795 1700 0.0854 5392 1348 May 1090 0.0822 1771 0.093 871 0.0805 1887 0.0948 5619 1405 Jun 1030 0.0777 1499 0.0787 792 0.0732 1614 0.081 4935 1234 Jul 1013 0.0764 1496 0.0785 962 0.0889 1761 0.0884 5232 1308 Aug 1196 0.0902 1372 0.072 1783 0.1648 1683 0.0845 6034 1509 Sep 1221 0.0921 1280 0.0672 827 0.0764 1632 0.082 496