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 …

Changes in biochemical tests in pregnancy and their clinical significance

S Teasdale, A Morton - Obstetric medicine, 2018 - journals.sagepub.com
Interpretation of laboratory investigations relies on reference intervals. Physiological
changes in pregnancy may result in significant changes in normal values for many …

Association of common genetic risk variants with gestational diabetes mellitus and their role in GDM prediction

PV Popova, AA Klyushina, LB Vasilyeva… - Frontiers in …, 2021 - frontiersin.org
Objective We aimed to explore the associations between common genetic risk variants with
gestational diabetes mellitus (GDM) risk in Russian women and to assess their utility in the …

Relationship between gestational body mass index change and the risk of gestational diabetes mellitus: a community-based retrospective study of 41,845 pregnant …

S Zhang, H Liu, N Li, W Dong, W Li, L Wang… - BMC Pregnancy and …, 2022 - Springer
Background Gestational diabetes mellitus (GDM) is associated with adverse health
consequences for women and their offspring. It is associated with maternal body mass index …

Machine learning approach for postprandial blood glucose prediction in gestational diabetes mellitus

EA Pustozerov, AS Tkachuk, EA Vasukova… - Ieee …, 2020 - ieeexplore.ieee.org
Postprandial blood glucose prediction is a crucial part of diabetes management. Recently,
this topic has been of great interest, resulting in many research projects and published …

Incidence and risk factors of gestational diabetes mellitus in Goba town, Southeast Ethiopia: a prospective cohort study

D Atlaw, B Sahiledengle, T Assefa, W Negash… - BMJ open, 2022 - bmjopen.bmj.com
Objective Gestational diabetes mellitus (GDM) is becoming a public health concern in
low/middle-income countries, and is known to cause severe morbidity and mortality for …

Personalized prediction of glycemic responses to food in women with diet-treated gestational diabetes: the role of the gut microbiota

PV Popova, AO Isakov, AN Rusanova… - npj Biofilms and …, 2025 - nature.com
We developed a prediction model for postprandial glycemic response (PPGR) in pregnant
women, including those with diet-treated gestational diabetes mellitus (GDM) and healthy …

Dose–response association between dietary patterns and gestational diabetes mellitus risk: A systematic review and meta‐analysis of observational studies

F Haghighatdoost, R Riahi, S Safari… - Food Science & …, 2023 - Wiley Online Library
Although dietary factors are relevant modifiable risk factors for gestational diabetes mellitus
(GDM), the exact association between dietary patterns and GDM remains controversial …

Prediction of gestational diabetes mellitus by different obesity indices

Z Song, Y Cheng, T Li, Y Fan, Q Zhang… - BMC Pregnancy and …, 2022 - Springer
Background The incidence rates of obesity and gestational diabetes mellitus (GDM) are
increasing in parallel. This study aimed to evaluate the relationship between different …

Trial protocol for the study of recommendation system DiaCompanion with personalized dietary recommendations for women with gestational diabetes mellitus …

P Popova, A Anopova, E Vasukova, A Isakov… - Frontiers in …, 2023 - frontiersin.org
Background Gestational diabetes mellitus (GDM) is a common complication of pregnancy
associated with serious adverse outcomes for mothers and their offspring. Achieving …