The Prevalence of Diabetes in the Republic of Kazakhstan Based on Regression Analysis Methods

A. Mukasheva, N. Saparkhojayev, Z. Akanov and A. Algazieva
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A. Mukasheva: Department of Cybersecurity, Data Processing and Storage, Satbayev University, Almaty, Kazakhstan
N. Saparkhojayev: Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkestan, Kazakhstan
Z. Akanov: Kazakh Society for Study of Diabetes, Member of AASD, Almaty, Kazakhstan
A. Algazieva: Academy of Civil Aviation, Almaty, Kazakhstan

International Journal of Health and Medical Sciences, 2019, vol. 5, issue 1, 8-16

Abstract: In this research paper, experimental studies of regression analysis methods for predicting diabetes mellitus of patients for 2019 in the Republic of Kazakhstan were conducted. Linear, polynomial, and exponential regressions methods were considered, after which appropriate graphs were built. According to these results it can be seen that the growth of development of patients with diabetes mellitus will not decrease. This is another confirmation that researchers need to apply new modern information technologies based on machine learning and artificial intelligence to struggle with the growth of this disease.

Keywords: Regression analysis; diabetes mellitus; statistics; forecasting (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:apa:ijhmss:2019:p:8-16

DOI: 10.20469/ijhms.5.30002-1

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