Machine learning prediction of non-attendance to postpartum glucose screening and subsequent risk of type 2 diabetes following gestational diabetes.
<h4>Objective</h4>The aim of the present study was to identify the factors associated with non-attendance of immediate postpartum glucose test using a machine learning algorithm following gestational diabetes mellitus (GDM) pregnancy.<h4>Method</h4>A retrospective cohort study of all GDM women (n =...
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| Autori principali: | , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science (PLoS)
2022-01-01
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| Serie: | PLoS ONE |
| Accesso online: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0264648&type=printable |
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