Machine learning-based models for gestational diabetes mellitus prediction before 24–28 weeks of pregnancy: A review

D Mennickent, A Rodríguez, M Farías-Jofré… - Artificial Intelligence in …, 2022 - Elsevier
Abstract Gestational Diabetes Mellitus (GDM) is a hyperglycemia state that impairs maternal
and offspring health, short and long-term. It is usually diagnosed at 24–28 weeks of …

[HTML][HTML] Machine learning prediction models for gestational diabetes mellitus: meta-analysis

Z Zhang, L Yang, W Han, Y Wu, L Zhang, C Gao… - Journal of medical …, 2022 - jmir.org
Background Gestational diabetes mellitus (GDM) is a common endocrine metabolic disease,
involving a carbohydrate intolerance of variable severity during pregnancy. The incidence of …

Comparison of machine learning methods and conventional logistic regressions for predicting gestational diabetes using routine clinical data: a retrospective cohort …

Y Ye, Y Xiong, Q Zhou, J Wu, X Li… - Journal of diabetes …, 2020 - Wiley Online Library
Background. Gestational diabetes mellitus (GDM) contributes to adverse pregnancy and
birth outcomes. In recent decades, extensive research has been devoted to the early …

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 …

[HTML][HTML] Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; …

Y Belsti, L Moran, L Du, A Mousa, K De Silva… - International Journal of …, 2023 - Elsevier
Background Early identification of pregnant women at high risk of developing gestational
diabetes (GDM) is desirable as effective lifestyle interventions are available to prevent GDM …

[HTML][HTML] Development and validation of risk prediction models for gestational diabetes mellitus using four different methods

N Wang, H Guo, Y Jing, L Song, H Chen, M Wang… - Metabolites, 2022 - mdpi.com
Gestational diabetes mellitus (GDM), a common perinatal disease, is related to increased
risks of maternal and neonatal adverse perinatal outcomes. We aimed to establish GDM risk …

[HTML][HTML] MIDO GDM: an innovative artificial intelligence-based prediction model for the development of gestational diabetes in Mexican women

H Gallardo-Rincón, MJ Ríos-Blancas… - Scientific Reports, 2023 - nature.com
Given the barriers to early detection of gestational diabetes mellitus (GDM), this study aimed
to develop an artificial intelligence (AI)-based prediction model for GDM in pregnant …

[HTML][HTML] Risk prediction models of gestational diabetes mellitus before 16 gestational weeks

Y Wei, A He, C Tang, H Liu, L Li, X Yang… - BMC Pregnancy and …, 2022 - Springer
Background Gestational diabetes mellitus (GDM) can lead to adverse maternal and fetal
outcomes, and early prevention is particularly important for their health, but there is no …

[HTML][HTML] Development and validation of prediction models for gestational diabetes treatment modality using supervised machine learning: a population-based cohort …

LD Liao, A Ferrara, MB Greenberg, AL Ngo, J Feng… - BMC medicine, 2022 - Springer
Background Gestational diabetes (GDM) is prevalent and benefits from timely and effective
treatment, given the short window to impact glycemic control. Clinicians face major barriers …

Prediction of gestational diabetes mellitus in the first 19 weeks of pregnancy using machine learning techniques

Y Xiong, L Lin, Y Chen, S Salerno, Y Li… - The journal of …, 2022 - Taylor & Francis
Aim Our objective was to develop a first 19 weeks risk prediction model with several
potential gestational diabetes mellitus (GDM) predictors including hepatic and renal and …