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...
| Published in: | BMC Medicine Vol. 20; no. 1; pp. 1 - 14 |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | research Journal Article |
| Published: |
BioMed Central
9/15/2022
|
| Online Access: | View this record in EBSCOhost |