Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy

BACKGROUND: Early prediction of Gestational Diabetes Mellitus (GDM) risk is of particular importance as it may enable more efficacious interventions and reduce cumulative injury to mother and fetus. The aim of this study is to develop machine learning (ML) models, for the early prediction of GDM usi...

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Detalles Bibliográficos
Autores principales: Cubillos, Gabriel, Monckeberg, Max, Plaza, Alejandra, Morgan, Maria, Estevez, Pablo A., Choolani, Mahesh, Kemp, Matthew W., Illanes, Sebastian E., Perez, Claudio A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288662/
https://www.ncbi.nlm.nih.gov/pubmed/37353749
http://dx.doi.org/10.1186/s12884-023-05766-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288662/
https://www.ncbi.nlm.nih.gov/pubmed/37353749
http://dx.doi.org/10.1186/s12884-023-05766-4

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