In this research paper, experimental studies of regression analysis methods for predicting diabetes mellitus 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, 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. Based on the results obtained, it can be concluded that early detection of the disease and preventive measures to increase risk awareness and complications of diabetes in the population is an important vector in preventing diabetes.

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S. Mukasheva, N. Saparkhojayev, Z. Akanov, and A. Algazieva, “The prevalence of diabetes in the Republic of Kazakhstan based on regression analysis methods,” International Journal of Health and Medical Sciences, vol. 5, no. 1, pp. 8-16. doi: https://dx.doi.org/10.20469/ijhms.5.30002-1