Publication Name	World Journal of Diabetes
Manuscript ID	123276
DOI	10.4239/wjd.123276
Country	Taiwan

Category	Obstetrics & Gynecology
Manuscript Type	Retrospective Cohort Study
Article Title	Early risk stratification of gestational diabetes using interpretable machine learning with first-trimester screening parameters
Manuscript Source	Unsolicited Manuscript
All Author List	Shuo-Mei Hung, Chie-Pein Chen, Fang-Ju Sun, Yi-Yung Chen, Liang-Kai Wang and Chen-Yu Chen
Funding Agency and Grant Number	Funding Agency Grant Number National Science and Technology Council of Taiwan No. NSTC 113-2314-B-195-016-MY3
Corresponding Author	Chen-Yu Chen, Full Professor, MD, PhD, Department of Obstetrics and Gynecology, MacKay Memorial Hospital, No. 92, Section 2 Zhongshan North Road, Taipei 104217, Taiwan. f122481@mmh.org.tw
Key Words	Gestational diabetes mellitus; Machine learning; First trimester; Risk stratification; Pregnancy-associated plasma protein A; Placental growth factor
Core Tip	This retrospective cohort study developed an interpretable machine learning model for early risk stratification of gestational diabetes mellitus using first-trimester clinical and biomarker parameters. In 2756 pregnancies, gradient boosting with random oversampling achieved moderate discrimination with high negative predictive value. Model interpretation using SHapley Additive exPlanations and patient-level heatmaps identified maternal and placental factors as key contributors. This approach may support early identification of at-risk women and facilitate targeted preventive strategies before routine mid-pregnancy screening.
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; In press DOI: https://doi.org/10.4239/wjd.123276
PDF	123276-in-press.pdf

Received	2026-05-13 01:40
Peer-Review Started	2026-05-13 23:59
First Decision by Editorial Office Director	2026-06-02 07:15
Return for Revision	2026-06-02 07:15
Revised	2026-06-15 16:38
Publication Fee Transferred
Second Decision by Editor	2026-06-30 02:43
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-07-08 09:01
Articles in Press	2026-07-08 09:01
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-9358 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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