Diyabetik Hastalarda Komplikasyon Geliştirme Riski Durumlarının Lojistik Regresyon Modelleri ile Retrospektif İncelenmesi

Abstract

Son yıllarda insan sağlığını tehdit eden en önemli hastalıklardan birisi diyabettir. Diyabet tanısı birçok tıbbi muayene bulgusu, tetkik ve tetkikler sonucunda konulabilmektedir. Bu tanı ile değerlendirilen hastalarda komplikasyon gelişmesi hasta için çok ciddi riskler taşımaktadır. Risk durumlarının doğru ve güvenilir bir şekilde öngörülmesi hekimlerin karar verme süreçlerine olumlu katkı sağlayacaktır. Bilgi teknolojilerindeki gelişmeler sayesinde elde edilen veriler çok daha hızlı ve güvenilir bir şekilde işlenebilmektedir. Lojistik regresyon analizi, basitlik ve doğruluk hedeflerine uygun olması açısından verileri analiz etmek için mevcut yöntemler arasından seçilmiştir. Lojistik regresyon analizi sonucunda; yaş, HbA1C ve bazı lipid parametreleri komplikasyon gelişiminde etkilidir. Ayrıca diyabet komplikasyon tipleri spesifik olarak belirlenmiş ve komplikasyonlara neden olan faktörlerin etkileri araştırılmıştır.

Keywords

• Diyabet
• Lojistik Regresyon Analizi
• HbA1C
• Periferik Dolaşım Komplikasyonu

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

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

• Diabetes
• Logistic Regression Analyses
• HbA1C
• Peripheral Circulatory Complication

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