A Machine Learning Framework to Identify the Causes of HbA1c in Patients With Type 2 Diabetes Mellitus

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Date
2019-06Author
ALLAHVERDİ, Novruz
ALTUN, Alpaslan
TAGHIYEV, Anar
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Show full item recordAbstract
In this study, the effects of blood glucose levels on hemoglobin A1c (HbA1c) were
investigated. For this reason, а classification model was developed by carrying out a logistic regression
analysis based on machine learning and data mining methods. The purpose of using logistic regression
analysis in this study was to establish a method of creating a statistical model that is most suitable and
reasonable for determining the relationship between dependent and independent variables. This model
shows how effective the factors that cause an increase in the HbA1c level. It can be planned to verify this
method on more Electronic Heath Records databases to address the learning method of information in the
local health sector with the help of data mining and machine learning methods and different clinical
problems for future work.
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