Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning

CONTEXT: Accurate methods for early gestational diabetes mellitus (GDM) (during the first trimester of pregnancy) prediction in Chinese and other populations are lacking. OBJECTIVES: This work aimed to establish effective models to predict early GDM. METHODS: Pregnancy data for 73 variables during t...

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Detalles Bibliográficos
Autores principales: Wu, Yan-Ting, Zhang, Chen-Jie, Mol, Ben Willem, Kawai, Andrew, Li, Cheng, Chen, Lei, Wang, Yu, Sheng, Jian-Zhong, Fan, Jian-Xia, Shi, Yi, Huang, He-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Clinical Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947802/
https://www.ncbi.nlm.nih.gov/pubmed/33351102
http://dx.doi.org/10.1210/clinem/dgaa899

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947802/
https://www.ncbi.nlm.nih.gov/pubmed/33351102
http://dx.doi.org/10.1210/clinem/dgaa899

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