CORRECTION article
Front. Endocrinol.
Sec. Clinical Diabetes
Correction: Early Prediction of Gestational Diabetes Mellitus Using Machine Learning-Integrated Metabolomic and Clinical features
Provisionally accepted
- 1Department of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China
- 2Department of Medical Record Management, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Keywords: Early prediction, gestational diabetes mellitus, machine learning, Metabolites, Metabolomic profiling
Received: 12 Feb 2026; Accepted: 13 Feb 2026.
Copyright: © 2026 Ji, Gao, Liu, Chen, Fu, Lin and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Fei Wang
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.