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

Clinical Information and Decision Making (906) Machine Learning (1008) Diabetes Prevention (63) Diabetes Health Services and System Innovations (83) Gestational Diabetes (22) Tools, Programs and Algorithms (182)

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 Zhang 1 Author Orcid Image ;   Luqian Yang 1 Author Orcid Image ;   Wentao Han 1 Author Orcid Image ;   Yaoyu Wu 1 Author Orcid Image ;   Linhui Zhang 1 Author Orcid Image ;   Chun Gao 1 Author Orcid Image ;   Kui Jiang 1 Author Orcid Image ;   Yun Liu 2, 3 Author Orcid Image ;   Huiqun Wu 1 Author Orcid Image
Article Authors Cited by (7) Tweetations (10) Metrics

Journals

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  2. Jader R, Aminifar S, Ejbali R. Predictive Model for Diagnosis of Gestational Diabetes in the Kurdistan Region by a Combination of Clustering and Classification Algorithms: An Ensemble Approach. Applied Computational Intelligence and Soft Computing 2022;2022:1 View
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  5. Nichols E, Pathak H, Bgeginski R, Mottola M, Giroux I, Van Lieshout R, Mohsenzadeh Y, Duerden E, Ab Wahab M. Machine learning-based predictive modeling of resilience to stressors in pregnant women during COVID-19: A prospective cohort study. PLOS ONE 2022;17(8):e0272862 View
  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
  7. Huang Q, Hu Y, Wang C, Huang J, Shen M, Ren L. Clinical First-Trimester Prediction Models for Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis. Biological Research For Nursing 2023;25(2):185 View