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

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

10.2196/32366

Saved in:
Bibliographic Details
Main Authors: Kumar M., Ang L.T., Ho C., Soh S.E., Tan K.H., Chan J.K.Y., Godfrey K.M., Chan S.-Y., Chong Y.S., Eriksson J.G., Feng M., Karnani N.
Other Authors: BIOCHEMISTRY
Format: Article
Published: JMIR Publications Inc. 2023
Subjects:
Asian populations
diabetes management
digital health
gestational diabetes mellitus
machine learning
prediction models
prenatal care
public health
risk factors
type 2 diabetes
Online Access:https://scholarbank.nus.edu.sg/handle/10635/237341
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
Description
Summary:10.2196/32366

Similar Items