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

Clinical Information and Decision Making (1423) Machine Learning (1486) Diabetes Prevention (86) Diabetes Health Services and System Innovations (119) Gestational Diabetes (28) Tools, Programs and Algorithms (272)

Published on in Vol 24, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26634, first published .
Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis

Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis

Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis

Authors of this article:

Zheqing Zhang1 Author Orcid Image ;   Luqian Yang1 Author Orcid Image ;   Wentao Han1 Author Orcid Image ;   Yaoyu Wu1 Author Orcid Image ;   Linhui Zhang1 Author Orcid Image ;   Chun Gao1 Author Orcid Image ;   Kui Jiang1 Author Orcid Image ;   Yun Liu2, 3 Author Orcid Image ;   Huiqun Wu1 Author Orcid Image
Article Authors Cited by (34) Tweetations (9) Metrics

Journals

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  6. Akano T, James C. An assessment of ensemble learning approaches and single-based machine learning algorithms for the characterization of undersaturated oil viscosity. Beni-Suef University Journal of Basic and Applied Sciences 2022;11(1) View
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  14. Yang X, Han R, Song Y, Zhang J, Huang H, Zhang J, Wang Y, Gao L. The Mediating Role of Physical Activity Self‐Efficacy in Predicting Moderate‐Intensity Physical Activity in Pregnant People at High Risk for Gestational Diabetes. Journal of Midwifery & Women's Health 2024;69(3):403 View
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  16. Chen L, Shao X, Yu P. Machine learning prediction models for diabetic kidney disease: systematic review and meta-analysis. Endocrine 2023;84(3):890 View
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  18. El-Sofany H, El-Seoud S, Karam O, Abd El-Latif Y, Taj-Eddin I, Costa G. A Proposed Technique Using Machine Learning for the Prediction of Diabetes Disease through a Mobile App. International Journal of Intelligent Systems 2024;2024:1 View
  19. Vivek Khanna V, Chadaga K, Sampathila N, Prabhu S, Chadaga P. R, Bhat D, K. S. S. Explainable artificial intelligence-driven gestational diabetes mellitus prediction using clinical and laboratory markers. Cogent Engineering 2024;11(1) View
  20. Nuthakki P, Kumar T. Machine learning-based early detection of diabetes risk factors for improved health management. Multimedia Tools and Applications 2024 View
  21. Wang J, Huang P, Hou F, Hao D, Li W, Jin H. Predicting gestational diabetes mellitus risk at 11–13 weeks’ gestation: the role of extrachromosomal circular DNA. Cardiovascular Diabetology 2024;23(1) View
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Books/Policy Documents

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  2. Priyanka , Goyal S, Bhatia R. Communication and Intelligent Systems. View
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