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

Digital Health Reviews (1760) Machine Learning (2136) Artificial Intelligence (2204) Reviews in Medical Informatics (116) Precision Medicine (171) Clinical Information and Decision Making (1963)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78714, first published .
Machine Learning Prediction Models for Preeclampsia: Systematic Review and Meta-Analysis

Machine Learning Prediction Models for Preeclampsia: Systematic Review and Meta-Analysis

Machine Learning Prediction Models for Preeclampsia: Systematic Review and Meta-Analysis

Authors of this article:

Lu Liu1, 2 Author Orcid Image ;   Qixuan Zhu3 Author Orcid Image ;   Yichi Zong2 Author Orcid Image ;   Xueyuan Chen2 Author Orcid Image ;   Wei Zhang2 Author Orcid Image ;   Jun Wang4 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Lu Liu   1, 2 , MM ;   Qixuan Zhu   3 , BEng ;   Yichi Zong   2 , MM ;   Xueyuan Chen   2 , MM ;   Wei Zhang   2 , MM ;   Jun Wang   4 , PhD

1 School of Public Health, China Medical University, Shenyang City, Liaoning Province, China

2 Department of the Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang City, Liaoning Province China, China

3 School of Engineering, University of Pennsylvania, Philadelphia, PA, United States

4 Department of the Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang City, Liaoning Province, China

Corresponding Author:

  • Jun Wang, PhD
  • Department of the Obstetrics and Gynecology
  • Shengjing Hospital Affiliated to China Medical University
  • Heping District, No 36 Sanhao Street
  • Shenyang City, Liaoning Province 110000
  • China
  • Phone: 86 18940254480
  • Email: wangj1@sj-hospital.org