• 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