A risk prediction model of gestational diabetes mellitus based on traditional and genetic factors
Background Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication during pregnancy. We aimed to evaluate a risk prediction model of GDM based on traditional and genetic factors.Methods A total of 2744 eligible pregnant women were included. Face-to-face questionnaire surveys were c...
Saved in:
Main Authors: | Ying Li (Author), Xinli Zhong (Author), Mengjiao Yang (Author), Lu Yuan (Author), Dandan Wang (Author), Ting Li (Author), Yanying Guo (Author) |
---|---|
Format: | Book |
Published: |
Taylor & Francis Group,
2024-12-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction of gestational diabetes mellitus by multiple biomarkers at early gestation
by: Meng-Nan Yang, et al.
Published: (2024) -
Risk prediction models of gestational diabetes mellitus before 16 gestational weeks
by: Yiling Wei, et al.
Published: (2022) -
Prediction of gestational diabetes mellitus by different obesity indices
by: Zhimin Song, et al.
Published: (2022) -
Nomogram for prediction of gestational diabetes mellitus in urban, Chinese, pregnant women
by: Fei Guo, et al.
Published: (2020) -
Application of machine learning algorithm for predicting gestational diabetes mellitus in early pregnancy†
by: Wei Li-Li, et al.
Published: (2021)