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1 Ergebnisse
1
Machine Learning-Derived Prenatal Predictive Risk Model to ..:
Kumar, Mukkesh
;
Ang, Li Ting
;
Ho, Cindy
...
10.2196/32366. , 2022
Link:
http://hdl.handle.net/10138/348051
RT Journal T1
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
UL https://suche.suub.uni-bremen.de/peid=base-ftunivhelsihelda:oai:helda.helsinki.fi:10138_348051&Exemplar=1&LAN=DE A1 Kumar, Mukkesh A1 Ang, Li Ting A1 Ho, Cindy A1 Soh, Shu E A1 Tan, Kok Hian A1 Chan, Jerry Kok Yen A1 Godfrey, Keith M A1 Chan, Shiao Yng A1 Chong, Yap Seng A1 Eriksson, Johan G A1 Feng, Mengling A1 Karnani, Neerja PB JMIR Publications Inc. YR 2022 K1 Asian populations K1 diabetes management K1 digital health K1 gestational diabetes mellitus K1 machine learning K1 prediction models K1 prenatal care K1 public health K1 risk factors K1 type 2 diabetes K1 3121 General medicine K1 internal medicine and other clinical medicine JF 10.2196/32366 LK http://hdl.handle.net/10138/348051 DO http://hdl.handle.net/10138/348051 SF ELIB - SuUB Bremen
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