Development and validation of prediction models for gestational diabetes treatment modality using supervised machine learning: a population-based cohort study.

Background: Gestational diabetes (GDM) is prevalent and benefits from timely and effective treatment, given the short window to impact glycemic control. Clinicians face major barriers to choosing effectively among treatment modalities [medical nutrition therapy (MNT) with or without pharmacologic tr...

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Publicado en:	BMC Medicine Vol. 20; no. 1; pp. 1 - 14
Autores principales:	Liao, Lauren D., Ferrara, Assiamira, Greenberg, Mara B., Ngo, Amanda L., Feng, Juanran, Zhang, Zhenhua, Bradshaw, Patrick T., Hubbard, Alan E., Zhu, Yeyi
Formato:	research Journal Article
Publicado:	BioMed Central 9/15/2022
Acceso en línea:	Ver este registro en EBSCOhost