Prediction of gestational diabetes mellitus by multiple biomarkers at early gestation.
Journal:
BMC pregnancy and childbirth
PMID:
39285345
Abstract
BACKGROUND: It remains unclear which early gestational biomarkers can be used in predicting later development of gestational diabetes mellitus (GDM). We sought to identify the optimal combination of early gestational biomarkers in predicting GDM in machine learning (ML) models.
Authors
Keywords
Adiponectin
Adult
Biomarkers
Blood Glucose
C-Reactive Protein
Case-Control Studies
China
Diabetes, Gestational
Female
Fibronectins
Humans
Insulin-Like Growth Factor Binding Protein 2
Insulin-Like Growth Factor I
Logistic Models
Machine Learning
Predictive Value of Tests
Pregnancy
Pregnancy Trimester, First
ROC Curve
Sex Hormone-Binding Globulin