Retrospective Investigation of Complication Development Risk Conditions with Logistic Regression Models in Diabetic Patients

Authors : Erol Terzi, Melih Uzunoğlu, Ahmet Toy

Pages : 74-84

View : 28 | Download : 36

Publication Date : 2024-07-28

Article Type : Research Paper

Abstract :Diabetes is one of the most important diseases that threaten human health in recent years. The diagnosis of diabetes can be made as a result of many medical examination findings, analyzes and examinations. The development of complications in patients evaluated with this diagnosis carries very serious risks for the patient. The accurate and reliable prediction of risk situations will contribute positively to the decision making process of physicians. The data obtained with the help of the developments in information technologies can be processed much faster and reliably. The logistic regression analysis was chosen among the available methods to analyze the data in terms of being the suitable for simplicity and accuracy targets. As a result of the logistic regression analysis; age, HbA1C and some lipid parameters have an effect on complication development. In addition, diabetes complication types were determined specifically and the effects of the factors causing complications were investigated.
Keywords : Diyabet, Lojistik Regresyon Analizi, HbA1C, Periferik Dolaşım Komplikasyonu