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

Machine Learning (1960) Clinical Information and Decision Making (1805) Decision Support for Health Professionals (1465) Gestational Diabetes (40) Pregnancy Information, Education and Lifestyle Interventions (380)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71539, first published .
Interpretable Machine Learning for Predicting Adverse Pregnancy Outcomes in Gestational Diabetes: Retrospective Cohort Study

Interpretable Machine Learning for Predicting Adverse Pregnancy Outcomes in Gestational Diabetes: Retrospective Cohort Study

Interpretable Machine Learning for Predicting Adverse Pregnancy Outcomes in Gestational Diabetes: Retrospective Cohort Study

Authors of this article:

Jiaxi Li1 Author Orcid Image ;   Xiali Liu2 Author Orcid Image ;   Shenyang He1 Author Orcid Image ;   Yan Ren3 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Jiaxi Li   1 * , MD ;   Xiali Liu   2 * , MD ;   Shenyang He   1 , MBBS ;   Yan Ren   3 * , MSc

1 Jinniu Maternity and Child Health Hospital of Chengdu, Chengdu, China

2 Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China

3 Department of Endocrinology and Metabolism, Adrenal Center, West China Hospital of Sichuan University, Chengdu, China

*these authors contributed equally

Corresponding Author:

  • Yan Ren, MSc
  • Department of Endocrinology and Metabolism, Adrenal Center
  • West China Hospital of Sichuan University
  • Number 37 Guoxue Alley, Wuhou District
  • Chengdu 610041
  • China
  • Phone: 86 18227387870
  • Email: renyan922@163.com