Logistic模型分析脑中风影响因素

Logistic Model Was Used to Analyze the Influencing Factors of Cerebral Apoplexy

摘要: 脑中风是一种急性脑血管疾病，是由于脑部血管突然破裂或因血管阻塞导致血液不能流入大脑而引起脑组织损伤的一组疾病。城乡合计脑中风已成为我国第一位死亡原因，也是中国成年人残疾的首要原因。其具有发病率高、死亡率高和致残率高的特点。本文通过对于脑中风数据的描述性分析，建立Logistic回归模型，得到了患脑中风的五个显著的重要因素：年龄、高血压、心脏病、工作类型和平均血糖水平，并得到了经验回归方程。

Abstract: Stroke is an acute cerebrovascular disease, which is a group of diseases caused by the sudden rup-ture of blood vessels in the brain or the blockage of blood vessels that prevents blood from flowing into the brain. Combined urban and rural cerebral apoplexy has become the first cause of death in China and the leading cause of adult disability in China. It has the characteristics of high morbidity, high mortality and high disability rate. In this paper, through descriptive analysis of cerebral stroke data, Logistic regression model was established, and five significant factors of cerebral stroke were obtained: age, hypertension, heart disease, job type and average blood sugar level, and empirical regression equation was obtained.