Copyright: ©Author(s) 2026.
World J Diabetes. Sep 15, 2026; 17(9): 122555
Published online Sep 15, 2026. doi: 10.4239/wjd.122555
Published online Sep 15, 2026. doi: 10.4239/wjd.122555
Figure 2 Performance of the gradient boosting survival analysis model in the external validation cohort.
A: Kaplan-Meier curves comparing the cumulative incidence of type 2 diabetes mellitus in the high-risk and low-risk groups; B: Time-dependent receiver operating characteristic curves for predicting 1-year, 3-year, and 5-year progression to type 2 diabetes mellitus. AUC: Area under the curve.
- Citation: Fan ZY, Ran XH, Wang N, Zhao TY, Li H, Liu X, Wu J, Yang Z, Chen G, Yang L, Ma X. Development and validation of an interpretable machine learning model for predicting progression from prediabetes to type 2 diabetes. World J Diabetes 2026; 17(9): 122555
- URL: https://www.wjgnet.com/1948-9358/full/v17/i9/122555.htm
- DOI: https://dx.doi.org/10.4239/wjd.122555