Title :
Statistical multiple regression analysis´ application in the cure on diabetes mellitus
Author :
Li, Rui-ge ; Zhu, Yu-qing ; Xu, Hong-fan ; Liu, De-xue
Author_Institution :
Department of Applied Mathematics, Nanyang Institute of Technology, China
Abstract :
In this paper, data are analyzed with the help of SPSS, correlation analysis and multiple regression analysis et al., which are based on the data from the patients in hospital. The correlation relationship between the preliminary insulin dosage about diabetes mellitus patients and sex, age, height, weight, dietetic quantity, motion quantity, blood sugar, urine sugar, urine protein, serum creatinine, infection et al. are studied, and the relation formulate between Insulin dosage and its key influence factors: blood sugar and urine protein are derived, which may give some guide to clinical medical treatment.
Keywords :
Analytical models; Equations; Insulin; Mathematical model; Proteins; Sugar; Testing; Insulin dosage; collinearity; correlation analysis; diabetes mellitus; heteroscedasticity; hypothesis testing; multiple regression analysis;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5689226
