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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Detalles Bibliográficos
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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9476287/
https://www.ncbi.nlm.nih.gov/pubmed/36104698
http://dx.doi.org/10.1186/s12916-022-02499-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9476287/
https://www.ncbi.nlm.nih.gov/pubmed/36104698
http://dx.doi.org/10.1186/s12916-022-02499-7

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