A Machine Learning Framework to Identify the Causes of HbA1c in Patients With Type 2 Diabetes Mellitus
Taghiyev, Anar and Altun, Alpaslan A. and Allahverdi, Novruz and Caglar,
Sona
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Abstract
In this study, the effects of blood glucose levels on hemoglobin A1c
(HbA1c) were investigated. For this reason, a 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
showws 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.... Show more Show less