The early prediction of gestational diabetes mellitus by machine learning models
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1186/s12884-024-06783-7.pdf
Reference23 articles.
1. McIntyre HD, Catalano P, Zhang C, Desoye G, Mathiesen ER, Damm P. Gestational diabetes mellitus. Nat Reviews Disease Primers. 2019;5(1):47.
2. Sohmaran C, Bte Mohamed Rahim A, Chua JYX, Shorey S. Perceptions of primiparous women diagnosed with gestational diabetes mellitus: a descriptive qualitative study. Midwifery. 2013;125:103802. https://doi.org/10.1016/j.midw.2023.103802.
3. Sweeting AN, Ross GP, Hyett J, Wong J. Gestational diabetes in the first trimester: is early testing justified? Lancet Diabetes Endocrinol. 2017;5(8):571–3. https://doi.org/10.1016/S2213-8587(17)30066-9.
4. Cooray SD, De Silva K, Enticott JC, Dawadi S, Boyle JA, Soldatos G, Paul E, Versace VL, Teede HJ. Temporal validation and updating of a prediction model for the diagnosis of gestational diabetes mellitus. J Clin Epidemiol. 2023;164:54–64. https://doi.org/10.1016/j.jclinepi.2023.08.020.
5. Lamain e de Ruiter M, Kwee A, Naaktgeboren CA, Franx A, Moons KGM, Koster MPH. Prediction models for the risk of gesta- tional diabetes: a systematic review. Diagn Progn Res. 2017;1:3.
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