Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus

10.3390/ijerph19116792

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Main Authors: Mukkesh Kumar, Li Ting Ang, Hang Png, Maisie Ng, Karen Tan, See Ling Loy, Tan, K.H., Chan, J.K.Y., Keith M. Godfrey, Chan, S.-Y., Chong, Y.S., Eriksson, J.G., Mengling Feng, Karnani, N.
Other Authors: DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
Format: Article
Published: 2022
Online Access:https://scholarbank.nus.edu.sg/handle/10635/228139
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-2281392024-04-17T10:19:06Z Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus Mukkesh Kumar Li Ting Ang Hang Png Maisie Ng Karen Tan See Ling Loy Tan, K.H. Chan, J.K.Y. Keith M. Godfrey Chan, S.-Y. Chong, Y.S. Eriksson, J.G. Mengling Feng Karnani, N. DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) BIOCHEMISTRY DUKE-NUS MEDICAL SCHOOL 10.3390/ijerph19116792 International Journal of Environmental Research and Public Health 19 11 2022-07-08T08:12:28Z 2022-07-08T08:12:28Z 2022 Article Mukkesh Kumar, Li Ting Ang, Hang Png, Maisie Ng, Karen Tan, See Ling Loy, Tan, K.H., Chan, J.K.Y., Keith M. Godfrey, Chan, S.-Y., Chong, Y.S., Eriksson, J.G., Mengling Feng, Karnani, N. (2022). Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus. International Journal of Environmental Research and Public Health 19 (11). ScholarBank@NUS Repository. https://doi.org/10.3390/ijerph19116792 https://scholarbank.nus.edu.sg/handle/10635/228139
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.3390/ijerph19116792
author2 DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
author_facet DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
Mukkesh Kumar
Li Ting Ang
Hang Png
Maisie Ng
Karen Tan
See Ling Loy
Tan, K.H.
Chan, J.K.Y.
Keith M. Godfrey
Chan, S.-Y.
Chong, Y.S.
Eriksson, J.G.
Mengling Feng
Karnani, N.
format Article
author Mukkesh Kumar
Li Ting Ang
Hang Png
Maisie Ng
Karen Tan
See Ling Loy
Tan, K.H.
Chan, J.K.Y.
Keith M. Godfrey
Chan, S.-Y.
Chong, Y.S.
Eriksson, J.G.
Mengling Feng
Karnani, N.
spellingShingle Mukkesh Kumar
Li Ting Ang
Hang Png
Maisie Ng
Karen Tan
See Ling Loy
Tan, K.H.
Chan, J.K.Y.
Keith M. Godfrey
Chan, S.-Y.
Chong, Y.S.
Eriksson, J.G.
Mengling Feng
Karnani, N.
Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus
author_sort Mukkesh Kumar
title Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus
title_short Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus
title_full Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus
title_fullStr Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus
title_full_unstemmed Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus
title_sort automated machine learning (automl)-derived preconception predictive risk model to guide early intervention for gestational diabetes mellitus
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/228139
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