DocumentCode
2098717
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
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
2383
Lastpage
2386
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5689226
Filename
5689226
Link To Document