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

• 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
• Institution: National University of Singapore

10.2196/32366