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

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

Authors of this article:

Mukkesh Kumar^{1, 2, 3} ;   Li Ting Ang^{1, 2} ;   Cindy Ho^{1, 2} ;   Shu E Soh⁴ ;   Kok Hian Tan^{5, 6} ;   Jerry Kok Yen Chan^{7, 8, 9} ;   Keith M Godfrey^{10, 11} ;   Shiao-Yng Chan^{1, 7} ;   Yap Seng Chong^{1, 7} ;   Johan G Eriksson^{1, 7, 12, 13} ;   Mengling Feng^{3, 14} ;   Neerja Karnani^{1, 2, 15}