Early risk stratification of gestational diabetes using interpretable machine learning with first-trimester screening parameters

doi:10.4239/wjd.123276

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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

Retrospective Cohort Study

Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Diabetes. Sep 15, 2026; 17(9): 123276
Published online Sep 15, 2026. doi: 10.4239/wjd.123276

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Figure 1 Flowchart of participant selection and study population enrollment for gestational diabetes mellitus prediction analysis. GDM: Gestational diabetes mellitus.

Citation: Hung SM, Chen CP, Sun FJ, Chen YY, Wang LK, Chen CY. Early risk stratification of gestational diabetes using interpretable machine learning with first-trimester screening parameters. World J Diabetes 2026; 17(9): 123276
URL: https://www.wjgnet.com/1948-9358/full/v17/i9/123276.htm
DOI: https://dx.doi.org/10.4239/wjd.123276

Hung SM, Chen CP, Sun FJ, Chen YY, Wang LK, Chen CY. Early risk stratification of gestational diabetes using interpretable machine learning with first-trimester screening parameters. World J Diabetes 2026; 17(9): 123276 [DOI: 10.4239/wjd.123276]

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