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

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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
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-2373412024-04-24T06:13:44Z 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 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. BIOCHEMISTRY OBSTETRICS & GYNAECOLOGY DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) DEAN'S OFFICE (MEDICINE) PAEDIATRICS DUKE-NUS MEDICAL SCHOOL SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH Asian populations diabetes management digital health gestational diabetes mellitus machine learning prediction models prenatal care public health risk factors type 2 diabetes 10.2196/32366 JMIR Diabetes 7 3 e32366 2023-02-20T08:56:55Z 2023-02-20T08:56:55Z 2022 Article 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. (2022). 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. JMIR Diabetes 7 (3) : e32366. ScholarBank@NUS Repository. https://doi.org/10.2196/32366 2371-4379 https://scholarbank.nus.edu.sg/handle/10635/237341 JMIR Publications Inc. Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Asian populations diabetes management digital health gestational diabetes mellitus machine learning prediction models prenatal care public health risk factors type 2 diabetes
spellingShingle	Asian populations diabetes management digital health gestational diabetes mellitus machine learning prediction models prenatal care public health risk factors type 2 diabetes 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. 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
description	10.2196/32366
author2	BIOCHEMISTRY
author_facet	BIOCHEMISTRY 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.
format	Article
author	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.
author_sort	Kumar M.
title	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
title_short	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
title_full	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
title_fullStr	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
title_full_unstemmed	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
title_sort	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
publisher	JMIR Publications Inc.
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/237341
_version_	1800915781230264320

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

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