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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...
Autores principales: | Cubillos, Gabriel, Monckeberg, Max, Plaza, Alejandra, Morgan, Maria, Estevez, Pablo A., Choolani, Mahesh, Kemp, Matthew W., Illanes, Sebastian E., Perez, Claudio A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
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 |
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