BulDML at Institute of Mathematics and Informatics >
IMI Periodicals >
Pliska Studia Mathematica Bulgarica >
2013 Volume 22 >

Please use this identifier to cite or link to this item:

Title: Modeling Data for Complications in Diabetics Using Logistic Regression
Authors: Prodanova, K.
Pashkunova, S.
Keywords: diabetes-related complications
logistic regression
Issue Date: 2013
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Pliska Studia Mathematica Bulgarica, Vol. 22, No 1, (2013), 143p-158p
Abstract: A prospective study of the relationship between some clinical parameters, genetic markers and complications of the patients with diabetes is considered. About 200 patients (male and female) have been examined. The patients are classified into five groups subject to the type of the diabetes. Data obtained for each patient are related to the type of the complications -- macro vascular, retina pathology, neuron pathology and nephrite pathology, 12 clinical parameters and 7 genetic markers. Data for the same genetic markers for 94 healthy persons (control group) are compared with those of the diabetics patients. The association of the genetic markers and the different types diabetes-related complications are investigated. A logistic regression to identify which factors are associated with the complications is performed. The associations between pathogenesis and gene genotypes are investigated for the first time for the population of diabetics in Bulgaria.
Description: 2010 Mathematics Subject Classification: 62P10.
ISSN: 0204-9805
Appears in Collections:2013 Volume 22

Files in This Item:

File Description SizeFormat
Pliska-22-2013-143-158.pdf437.56 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0!   Creative Commons License