Prediction of Diabetic Retinopathy Using Pancreatic Elastography as an Imaging Tool
Version 1Title: Dataset for: Prediction of Diabetic Retinopathy Using Pancreatic Elastography Description: This dataset contains anonymized clinical, laboratory, and imaging data for 200 patients with Type 2 Diabetes Mellitus. It includes pancreatic stiffness measurements from shear-wave elastography, DR classification (No DR, NPDR, PDR), HbA1c, CRP levels, and diabetes duration. The data were used in a cross-sectional study assessing the role of pancreatic elastography as a predictor of diabetic ret
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Title: Dataset for: Prediction of Diabetic Retinopathy Using Pancreatic Elastography
Description: This dataset contains anonymized clinical, laboratory, and imaging data for 200 patients with Type 2 Diabetes Mellitus. It includes pancreatic stiffness measurements from shear-wave elastography, DR classification (No DR, NPDR, PDR), HbA1c, CRP levels, and diabetes duration. The data were used in a cross-sectional study assessing the role of pancreatic elastography as a predictor of diabetic ret