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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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