The Prediction Model of Stroke on Climate Factors by Multiple Regression
Stroke is a group of diseases due to brain blood vessels rupture or sudden vascular occlusion leads to blood circulation disorder which causes brain damage.The pathogenesis of stroke is quite complex,there have many reasons can induce the disease,including climate factors.In this paper;we changed the common methods which used linear regression or logistic regression to analyze the impact of climate on stroke which had some limitations and was not comprehensive.We used the multiple regression to analysis the prediction model of stroke on climate factors.Studies show that this method is more accurate and more convenient based on the 2007 to 2010 total 61,923 cases of the disease from many hospitals for a city.
stroke prediction multiple regression climate factors
Jie Yang LuPing Ji Qiang Wang Xin Lu
School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu,China
国际会议
重庆
英文
587-591
2016-03-20（万方平台首次上网日期，不代表论文的发表时间）