Research Article
Indexes for Classification of Populations According to the Intensity of Cancer Diseases
Kachiashvilia KJabc* and Kachiashvilid JKd
aProfessor, Faculty of Informatics and Control Systems, Georgian Technical University, 77, st. Kostava, Tbilisi, 380160, Georgia
bSenior Scientific Worker, I. Vekua Institute of Applied Mathematics, Tbilisi State University, Tbilisi, Georgia
cSenior Scientific Worker, Muskhelishvili Institute of Computational Mathematics, Georgian Technical University, Tbilisi, Georgia
dMagistracy student, Faculty of Informatics and Control Systems, Georgian Technical University, Tbilisi, Georgia
Kachiashvilia KJ, Professor, Faculty of Informatics and Control Systems, Georgian Technical University, Tbilisi, Georgia.
Received Date: March 28, 2020; Published Date: April 06, 2020
Abstract
By statistical processing of Georgian Cancer Registry data of 2015-2016, clustering (grouping) of Georgian populations was realized, according to the intensity of the cancer disease prevalence, for the purpose of priority distribution of existed resources and means in the country and for the reduction of the number of patients and improvement of the quality of treatment. Cluster analysis methods of mathematical statistics were used for the study, which was directly implemented using universal statistical software package SPSS. The concept of disease index was introduced for achieving the intruded purpose. Its several variants were determined. The study results using indexes showed that it is possible to group objectively populated areas and regions of the country by intensity of dissemination of cancer disease.
Keywords: Cancer; Disease; Disease Index; Cluster Analysis; Populated Area; Region
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Kachiashvilia KJ, Kachiashvilid JK. Indexes for Classification of Populations According to the Intensity of Cancer Diseases. Adv Can Res & Clinical Imag. 2(4): 2020. ACRCI.MS.ID..000543.
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