Prediction Using Logistic Regression Analysis of Peripheral Vascular Disease

摘要：

　　Logisic regression model is to study the response variable is an important analytical method for non-continuous variables.Linear regression models and quantitative analysis is one of the most commonly used data mining methods of statistical analysis,linear regression analysis but generally require the response is a continuous variable,the data distribution is normal conditions.This study used logistic regression analysis to predict the study of peripheral vascular disease in the carotid atherosclerosis disease prediction model was established to provide scientific basis for the clinical treatment of peripheral vascular disease.

关键词： Logistic peripheral vascular disease regression model clinical evidence

作者: Li Yanan Guo Xiaona Yan Chunsheng

作者单位: Henan Province Hospital of TCM,450000,Henan,P. R. China;The Second Affiliated Hospital of Henan Univ Huanghe Science and Technology College,Zhengzhou,450003,Henan,P. R. China

会议类型: 国际会议

会议名称: 2016 International Conference on Economics and Management Innovations(2016经济与管理创新国际会议)

会议地点: 武汉

会议语种:英文

页码: 203-206

在线出版日期: 2016-07-09（万方平台首次上网日期，不代表论文的发表时间）