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

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

Abstract 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 pharmaco...

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Bibliographic Details
Main Authors: Lauren D. Liao, Assiamira Ferrara, Mara B. Greenberg, Amanda L. Ngo, Juanran Feng, Zhenhua Zhang, Patrick T. Bradshaw, Alan E. Hubbard, Yeyi Zhu
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Medicine
Subjects:
Gestational diabetes
Machine learning
Pharmacologic treatment
Prediction
Pregnancy
Risk stratification
Online Access:https://doi.org/10.1186/s12916-022-02499-7

Internet

https://doi.org/10.1186/s12916-022-02499-7

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