Publications
Article · International Journal of Health and Medical Sciences · March 8, 2019
The Prevalence of Diabetes in the Republic of Kazakhstan Based on Regression Analysis Methods
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.
Artificial Intelligence in HealthcareDiabetes, Cardiovascular Risks, and LipoproteinsHealthcare Systems and Public Healthdiabetes mellitusdiabetes prevalencediabetes prediction
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