Stacking ensemble method for gestational diabetes mellitus prediction in Chinese pregnant women: a prospective cohort study

R Liu, Y Zhan, X Liu, Y Zhang, L Gui… - Journal of …, 2022 - Wiley Online Library
Gestational diabetes mellitus (GDM) is closely related to adverse pregnancy outcomes and
other diseases. Early intervention in pregnant women who are at high risk of developing …

Prediction of gestational diabetes mellitus under cascade and ensemble learning algorithm

J Zhang, F Wang - Computational Intelligence and …, 2022 - Wiley Online Library
Gestational diabetes mellitus (GDM) is one of the risk factors for fetal dysplasia and maternal
pregnancy difficulties. Therefore, the prediction of the risk of GDM in advance has become a …

A Stepwise Prediction and Interpretation of Gestational Diabetes Mellitus: Foster the Practical Application of Machine Learning in Clinical Decision

F Zhou, X Ran, F Song, Q Wu, Y Jia, Y Liang, S Chen… - Heliyon, 2024 - cell.com
Background Machine learning has shown to be an effective method for early prediction and
intervention of Gestational diabetes mellitus (GDM), which greatly decreases GDM …

Early prediction of gestational diabetes mellitus in the Chinese population via advanced machine learning

YT Wu, CJ Zhang, BW Mol, A Kawai, C Li… - The Journal of …, 2021 - academic.oup.com
Context Accurate methods for early gestational diabetes mellitus (GDM)(during the first
trimester of pregnancy) prediction in Chinese and other populations are lacking. Objectives …

Prediction of gestational diabetes based on lightgbm

F Hou, ZX Cheng, LY Kang, W Zheng - Proceedings of the 2020 …, 2020 - dl.acm.org
Gestational diabetes mellitus (GDM) is associated with an increased risk of both short-term
and long-term complications in mothers and infants. However, if lifestyle interventions are …

Stacked ensemble-based type-2 diabetes prediction using machine learning techniques

MA Rahim, MA Hossain, MN Hossain… - Annals of Emerging …, 2023 - aetic.theiaer.org
Diabetes is a long-term disease caused by the human body's inability to make enough
insulin or to use it properly. This is one of the curses of the present world. Although it is not …

Hybrid stacked ensemble combined with genetic algorithms for Prediction of Diabetes

J Abdollahi, B Nouri-Moghaddam - arXiv preprint arXiv:2103.08186, 2021 - arxiv.org
Diabetes is currently one of the most common, dangerous, and costly diseases in the world
that is caused by an increase in blood sugar or a decrease in insulin in the body. Diabetes …

Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm

X Hu, X Hu, Y Yu, J Wang - Frontiers in Endocrinology, 2023 - frontiersin.org
Objective To develop the extreme gradient boosting (XG Boost) machine learning (ML)
model for predicting gestational diabetes mellitus (GDM) compared with a model using the …

Prediction of gestational diabetes mellitus in Asian women using machine learning algorithms

BS Kang, SU Lee, S Hong, SK Choi, JE Shin, JH Wie… - Scientific Reports, 2023 - nature.com
This study developed a machine learning algorithm to predict gestational diabetes mellitus
(GDM) using retrospective data from 34,387 pregnancies in multi-centers of South Korea …

Analysis and Prediction of Gestational Diabetes Mellitus by the Ensemble Learning Method

X Wang, Y Wang, S Zhang, L Yao, S Xu - International Journal of …, 2022 - Springer
Gestational diabetes mellitus (GDM) is the most common disease in pregnancy and can
cause a series of maternal and infant complications. A new study shows that GDM affects …