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 …
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 …
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 …
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
Context Accurate methods for early gestational diabetes mellitus (GDM)(during the first
trimester of pregnancy) prediction in Chinese and other populations are lacking. Objectives …
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; …
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 …
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 …
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 …
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 …
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 …
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
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 …
potential gestational diabetes mellitus (GDM) predictors including hepatic and renal and …
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