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Dergiler / Recep Tayyip Erdoğan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi / 2023 / Cilt: 4 Sayı: 2

Diyabetik Ayağın Derin Öğrenme Yöntemleriyle Ayırıcı Tanısı

Differential Diagnosis of Diabetic Foot with Deep Learning Methods

Maide Çakır Bayer(BANDIRMA ONYEDİ EYLÜL ÜNİVERSİTESİ, MÜHENDİSLİK VE DOĞA BİLİMLERİ FAKÜLTESİ)0000-0002-2831-8104
Hüseyin Canbolat(ANKARA YILDIRIM BEYAZIT ÜNİVERSİTESİ)0000-0002-2577-0517
Gökalp Tulum(İstanbul Topkapı Üniversitesi)0000-0003-1906-0401
Sayfa
288–305
Yayın Tarihi
2023-12-31
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Genel olarak bu çalışma, diyabetik ayak problemlerinde derin öğrenmenin mevcut durumunun kapsamlı bir analizini ve ilerlemelerin altını çizmektedir.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Uzun süreli hipergliseminin neden olduğu diyabetik ayak komplikasyonları diyabet hastaları arasında önemli bir sağlık sorunudur.
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Temel Bulgular & Veri:Ayrıca amputasyon riskini artırarak yaşam kalitesini etkiler ve sağlık sistemleri üzerinde baskı yaratır.
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Sonuç & Katkı:Genel olarak bu çalışma, diyabetik ayak problemlerinde derin öğrenmenin mevcut durumunun kapsamlı bir analizini ve ilerlemelerin altını çizmektedir.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Derin öğrenme · ayırıcı tanı · diyabetik ayak

Özet

Uzun süreli hipergliseminin neden olduğu diyabetik ayak komplikasyonları diyabet hastaları arasında önemli bir sağlık sorunudur. Hastaların çoğunda diyabetik ayak komplikasyonları gelişir ve bu da diyabetle ilişkili hastaneye başvurulara önemli ölçüde sebebiyet verir. Bu komplikasyonlar arasında ayak ülserleri, enfeksiyonlar, iskemi, Charcot ayağı ve nöropati yer alır. Ayrıca amputasyon riskini artırarak yaşam kalitesini etkiler ve sağlık sistemleri üzerinde baskı yaratır. Bu aşamada erken teşhis hayati önem taşır. Teşhis süreci yalnızca bir hastalığın varlığını veya yokluğunu belirlemeyi değil aynı zamanda hastalığın kategorize edilmesini de içerir. Bu çalışmada diyabetik ayak rahatsızlıklarının tanısında derin öğrenme yöntemlerinin kullanımı incelenmiştir. Çalışma, tahmine dayalı modelleme ve resim analizi de dahil olmak üzere farklı yönleri de ele alır. Doğruluğun ve erken tespitin geliştirilmesine odaklanarak model tasarımlarının, veri kaynaklarının ve yorumlanabilirlik metodolojilerinin ilerleyişini tartışır. Genel olarak bu çalışma, diyabetik ayak problemlerinde derin öğrenmenin mevcut durumunun kapsamlı bir analizini ve ilerlemelerin altını çizmektedir.

Abstract

Diabetic foot complications, caused by prolonged hyperglycemia, are a significant health concern among diabetes patients. Majority of patients develop diabetic foot complications, contributing significantly to diabetes-related hospital admissions. These complications include foot ulcers, infections, ischemia, Charcot foot, and neuropathy. They also increase the risk of amputation, affecting quality of life and putting strain on healthcare systems. At this stage, early diagnosis plays a vital role. The process of diagnosing involves not only identifying the presence or absence of a disease, but also categorizing the disease. In this study, we examine the use of deep learning methods in the diagnosis of diabetic foot conditions. It explores various aspects such as predictive modeling and image analysis. The study discusses the progression of model designs, data sources, and interpretability methodologies, with a focus on improving accuracy and early detection. Overall, the study provides a comprehensive analysis of the current state of deep learning in diabetic foot problems with highlighting advancements.

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Bu Makaleye Atıf Yap

Bayer, M. Ç., Canbolat, H., Tulum, G. (2023). Diyabetik Ayağın Derin Öğrenme Yöntemleriyle Ayırıcı Tanısı. Recep Tayyip Erdoğan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, Cilt: 4 Sayı: 2, 288–305. https://doi.org/10.53501/rteufemud.1377390

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