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Talk · IEEE International Conference on Smart Information Systems and Technologies · April 28, 2021

Research of the Regression Analysis Methods for Predicting the Growth of Patients with Diabetes Mellitus

Assel Mukasheva, Zhanay Akanov, Didar Yedilkhan

Assel Mukasheva
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Abstract

In the Republic of Kazakhstan, diabetes mellitus is one of the socially significant diseases, which causes a high level of prevalence of this disease among the population, as well as high costs for the diagnosis and treatment of diabetes. Statistical models for predicting the number of patients with diabetes mellitus based on regression analysis using technical and economic indicators in the field of medical services for diabetes have been developed. There was a direct correlation between economic factors and the growth of patients with diabetes in the Republic of Kazakhstan. The analysis of the current state of research on predicting patient growth has shown insufficient elaboration in this subject area. The prevalence of diabetes in the country has the character of an epidemic and leads to large financial costs, thereby increasing the costs of regional budgets for the purchase of insulin and other medicines in the regions.

Economic, Social, and Public Health Issues in Russia and GloballyHealthcare Systems and Public HealthDiabetes, Cardiovascular Risks, and Lipoproteinsdiabetes mellitusregression modelseconomic factors

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