
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
Author(s) -
Mukkesh Kumar,
Li Ting Ang,
Cindy Ho,
ShuE Soh,
Kok Hian Tan,
Jerry Kok Yen Chan,
Keith M. Godfrey,
ShiaoYng Chan,
Yap Seng Chong,
Johan G. Eriksson,
Mengling Feng,
Neerja Karnani
Publication year - 2022
Publication title -
jmir diabetes
Language(s) - English
Resource type - Journals
ISSN - 2371-4379
DOI - 10.2196/32366
Subject(s) - gestational diabetes , medicine , machine learning , population , psychological intervention , artificial intelligence , predictive analytics , logistic regression , pregnancy , computer science , nursing , environmental health , gestation , genetics , biology