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Paper Title
Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus.
PubMed
Paper Journal Title
Int J Environ Res Public Health
Paper Citation Count
5
Paper Publication Year
2022
Bio Mention
Child, GDM, Gestational Diabetes Mellitus, HDL, HbA, Maternal, T2D, chronic metabolic disorders, gestational diabetes mellitus, glycated hemoglobin A, insulin, predictors, preterm, preterm birth, triglycerides, type 2 diabetes, women
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Author Name
Affiliation
Johan G Eriksson
Singapore Institute for Clinical Sciences
Johan G Eriksson
Folkhalsan Research Center
Johan G Eriksson
University of Helsinki
Johan G Eriksson
Yong Loo Lin School of Medicine, National University of Singapore
Mengling Feng
Saw Swee Hock School of Public Health, National University of Singapore, National University Health System
Mengling Feng
Institute of Data Science, National University of Singapore
Neerja Karnani
Singapore Institute for Clinical Sciences
Neerja Karnani
Bioinformatics Institute
Neerja Karnani
Yong Loo Lin School of Medicine, National University of Singapore
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