Machine Learning–Derived Prenatal Predictive Risk Model to Guide Intervention and Prevent the Progression of Gestational Diabetes Mellitus to Type 2 Diabetes: Prediction Model Development Study

BACKGROUND: The increasing prevalence of gestational diabetes mellitus (GDM) is concerning as women with GDM are at high risk of type 2 diabetes (T2D) later in life. The magnitude of this risk highlights the importance of early intervention to prevent the progression of GDM to T2D. Rates of postpart...

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Detalles Bibliográficos
Autores principales: Kumar, Mukkesh, Ang, Li Ting, Ho, Cindy, Soh, Shu E, Tan, Kok Hian, Chan, Jerry Kok Yen, Godfrey, Keith M, Chan, Shiao-Yng, Chong, Yap Seng, Eriksson, Johan G, Feng, Mengling, Karnani, Neerja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297138/
https://www.ncbi.nlm.nih.gov/pubmed/35788016
http://dx.doi.org/10.2196/32366

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297138/
https://www.ncbi.nlm.nih.gov/pubmed/35788016
http://dx.doi.org/10.2196/32366

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