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This paper is in the following e-collection/theme issue:

Machine Learning (2308) Gestational Diabetes (46) Artificial Intelligence in Diabetes Care and Prevention (69) Applications of AI (382)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85335, first published .
Pregnant woman checks blood sugar with glucose meter and lancets

Enhancing Early Prediction of Gestational Diabetes Mellitus Through Data Augmentation and Feature Guidance: Model Development and Validation Study

Enhancing Early Prediction of Gestational Diabetes Mellitus Through Data Augmentation and Feature Guidance: Model Development and Validation Study

Authors of this article:

Xiekun Chen1, 2 Author Orcid Image ;   Zhifa Jiang3 Author Orcid Image ;   Dong Su4 Author Orcid Image ;   Xiaoping Chen3 Author Orcid Image ;   Aiping Chen3 Author Orcid Image ;   Zhen Zhang1 Author Orcid Image ;   Huabin Wang1 Author Orcid Image
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Xiekun Chen   1, 2 * , BEng ;   Zhifa Jiang   3 * , MD ;   Dong Su   4 , BSc ;   Xiaoping Chen   3 , MBBS ;   Aiping Chen   3 , MBBS ;   Zhen Zhang   1 , PhD ;   Huabin Wang   1 , MSc

1 School of Computer Science and Engineering, Huizhou University, Huizhou, Guangdong, China

2 Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, Guangdong, China

3 Obstetrics and Gynaecology, Huizhou First Maternal and Child Health Care Hospital, Huizhou, Guangdong, China

4 School of Mathematics and Statistics, Huizhou University, Huizhou, Guangdong, China

*these authors contributed equally

Corresponding Author:

  • Zhen Zhang, PhD
  • School of Computer Science and Engineering
  • Huizhou University
  • No. 46 Yanda Avenue
  • Huizhou, Guangdong 516007
  • China
  • Phone: 86 18217267715
  • Email: zzsjbme@sjtu.edu.cn