Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approach
10.1016/j.diabres.2022.109237
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2022
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sg-nus-scholar.10635-2296992024-04-25T06:20:47Z Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approach Kumar, M. Chen, L. Tan, K. Ang, L.T. Ho, C. Wong, G. Soh, S.E. Tan, K.H. Chan, J.K.Y. Godfrey, K.M. Chan, S.-Y. Chong, M.F.F. Connolly, J.E. Chong, Y.S. Eriksson, J.G. Feng, M. Karnani, N. DEAN'S OFFICE (MEDICINE) BIOCHEMISTRY PAEDIATRICS DUKE-NUS MEDICAL SCHOOL OBSTETRICS & GYNAECOLOGY SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH Asian populations Gestational Diabetes Mellitus Heterogeneity Machine Learning Non-Invasive UK NICE 10.1016/j.diabres.2022.109237 Diabetes Research and Clinical Practice 185 109237 2022-08-02T01:10:42Z 2022-08-02T01:10:42Z 2022-02-03 Article Kumar, M., Chen, L., Tan, K., Ang, L.T., Ho, C., Wong, G., Soh, S.E., Tan, K.H., Chan, J.K.Y., Godfrey, K.M., Chan, S.-Y., Chong, M.F.F., Connolly, J.E., Chong, Y.S., Eriksson, J.G., Feng, M., Karnani, N. (2022-02-03). Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approach. Diabetes Research and Clinical Practice 185 : 109237. ScholarBank@NUS Repository. https://doi.org/10.1016/j.diabres.2022.109237 0168-8227 https://scholarbank.nus.edu.sg/handle/10635/229699 Elsevier Ireland Ltd |
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National University of Singapore |
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NUS Library |
| continent |
Asia |
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Singapore Singapore |
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NUS Library |
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ScholarBank@NUS |
| topic |
Asian populations Gestational Diabetes Mellitus Heterogeneity Machine Learning Non-Invasive UK NICE |
| spellingShingle |
Asian populations Gestational Diabetes Mellitus Heterogeneity Machine Learning Non-Invasive UK NICE Kumar, M. Chen, L. Tan, K. Ang, L.T. Ho, C. Wong, G. Soh, S.E. Tan, K.H. Chan, J.K.Y. Godfrey, K.M. Chan, S.-Y. Chong, M.F.F. Connolly, J.E. Chong, Y.S. Eriksson, J.G. Feng, M. Karnani, N. Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approach |
| description |
10.1016/j.diabres.2022.109237 |
| author2 |
DEAN'S OFFICE (MEDICINE) |
| author_facet |
DEAN'S OFFICE (MEDICINE) Kumar, M. Chen, L. Tan, K. Ang, L.T. Ho, C. Wong, G. Soh, S.E. Tan, K.H. Chan, J.K.Y. Godfrey, K.M. Chan, S.-Y. Chong, M.F.F. Connolly, J.E. Chong, Y.S. Eriksson, J.G. Feng, M. Karnani, N. |
| format |
Article |
| author |
Kumar, M. Chen, L. Tan, K. Ang, L.T. Ho, C. Wong, G. Soh, S.E. Tan, K.H. Chan, J.K.Y. Godfrey, K.M. Chan, S.-Y. Chong, M.F.F. Connolly, J.E. Chong, Y.S. Eriksson, J.G. Feng, M. Karnani, N. |
| author_sort |
Kumar, M. |
| title |
Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approach |
| title_short |
Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approach |
| title_full |
Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approach |
| title_fullStr |
Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approach |
| title_full_unstemmed |
Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approach |
| title_sort |
population-centric risk prediction modeling for gestational diabetes mellitus: a machine learning approach |
| publisher |
Elsevier Ireland Ltd |
| publishDate |
2022 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/229699 |
| _version_ |
1800915547133575168 |