Clinical study of different prediction models in predicting diabetic nephropathy in patients with type 2 diabetes mellitus

doi:10.4239/wjd.v15.i1.43

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Jan 15, 2024 (publication date) through Jul 21, 2024

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World Journal of Diabetes

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1948-9358

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Diabetes. Jan 15, 2024; 15(1): 43-52
Published online Jan 15, 2024. doi: 10.4239/wjd.v15.i1.43

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Figure 1 Nomogram prediction model for diabetic nephropathy in patients with type 2 diabetes mellitus. Scr: Serum creatinine; HbAlc: Glycosylated hemoglobin; DR: Diabetic retinopathy; FBG: Fasting blood glucose.

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Figure 2 Decision tree model of diabetic nephropathy in patients type 2 diabetes. Scr: Serum creatinine; HbAlc: Glycosylated hemoglobin; FBG: Fasting blood glucose.

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Figure 3 Random forest model of diabetic nephropathy in patients with type 2 diabetes. Scr: Serum creatinine; HbAlc: Glycosylated hemoglobin; DR: Diabetic retinopathy; FBG: Fasting blood glucose.

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Figure 4 Receiver operating characteristic curves for the validation sets of the three models. A: Nomogram; B: Decision-making tree; C: Random forest. AUC: Area under the receiver operating characteristic curve; CI: Confidence interval.

Citation: Cai SS, Zheng TY, Wang KY, Zhu HP. Clinical study of different prediction models in predicting diabetic nephropathy in patients with type 2 diabetes mellitus. World J Diabetes 2024; 15(1): 43-52
URL: https://www.wjgnet.com/1948-9358/full/v15/i1/43.htm
DOI: https://dx.doi.org/10.4239/wjd.v15.i1.43