AIMC Topic: Diabetes, Gestational

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Identification of macrophage-associated diagnostic biomarkers and molecular subtypes in gestational diabetes mellitus based on machine learning.

Artificial cells, nanomedicine, and biotechnology Jun 6, 2025
Gestational diabetes mellitus (GDM) is a common metabolic disorder during pregnancy, involving multiple immune and inflammatory factors. Macrophages play a crucial role in its development. This study integrated scRNA-seq and RNA-seq data to explore m...
Female Gene Regulatory Networks Diabetes, Gestational Macrophages Biomarkers Pregnancy Humans Machine Learning
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GDM-BC: Non-invasive body composition dataset for intelligent prediction of Gestational Diabetes Mellitus.

Computers in biology and medicine Apr 23, 2025
Gestational Diabetes Mellitus (GDM) refers to any degree of impaired glucose tolerance with onset or first recognition during pregnancy. As a high-prevalence disease, GDM damages the health of both pregnant women and fetuses in the short and long ter...
Humans Female Adult Body Composition Diabetes, Gestational Machine Learning Databases, Factual Pregnancy
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Machine learning based model for the early detection of Gestational Diabetes Mellitus.

BMC medical informatics and decision making Mar 13, 2025
BACKGROUND: Gestational Diabetes Mellitus (GDM) is one of the most common medical complications during pregnancy. In the Gulf region, the prevalence of GDM is higher than in other parts of the world. Thus, there is a need for the early detection of G...
Pregnancy Female Adult Pregnancy Trimester, First Humans Machine Learning Biomarkers Diabetes, Gestational Early Diagnosis
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Early prediction of postpartum dyslipidemia in gestational diabetes using machine learning models.

Scientific reports Mar 7, 2025
This study addresses a gap in research on predictive models for postpartum dyslipidemia in women with gestational diabetes mellitus (GDM). The goal was to develop a machine learning-based model to predict postpartum dyslipidemia using early pregnancy...
Adult ROC Curve Machine Learning Dyslipidemias Humans Algorithms Diabetes, Gestational Pregnancy Postpartum Period Female
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Early gestational diabetes mellitus risk predictor using neural network with NearMiss.

Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology Feb 24, 2025
BACKGROUND: Gestational diabetes mellitus (GDM) is globally recognized as a significant pregnancy-related condition, contributing to complex complications for both mothers and infants. Traditional glucose tolerance tests lack the ability to identify ...
Adult Risk Assessment Diabetes, Gestational Glucose Tolerance Test Pregnancy Female Risk Factors Humans Neural Networks, Computer
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Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis.

BMC medical informatics and decision making Jan 13, 2025
BACKGROUND: This systematic review aims to explore the early predictive value of machine learning (ML) models for the progression of gestational diabetes mellitus (GDM) to type 2 diabetes mellitus (T2DM).
Predictive Value of Tests Diabetes, Gestational Humans Machine Learning Pregnancy Female Disease Progression Diabetes Mellitus, Type 2
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Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran.

BMC medical informatics and decision making Jan 3, 2025
BACKGROUND: Gestational Diabetes Mellitus (GDM) is a common complication during pregnancy. Late diagnosis can have significant implications for both the mother and the fetus. This research aims to create an early prediction model for GDM in the first...
Adult Cross-Sectional Studies Pregnancy Trimester, First Iran Diabetes, Gestational Machine Learning Algorithms Humans Pregnancy Female
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StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED): a population-based cohort study-study protocol.

BMJ open Dec 26, 2024
INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the last 20 years. Consequently, over 40 000 pregnancies are now diagnosed as 'higher risk' each year. This has increased antenatal surveillance and obstet...
Multilevel Analysis New South Wales Hospitals, Public Routinely Collected Health Data Humans Predictive Learning Models Glucose Tolerance Test Information Storage and Retrieval Female Propensity Score Risk Assessment Delivery, Obstetric Incidence Logistic Models Pregnancy Outcome Research Design Observational Studies as Topic Diabetes, Gestational Retrospective Studies Pregnancy
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Prediction of pre-eclampsia with machine learning approaches: Leveraging important information from routinely collected data.

International journal of medical informatics Oct 5, 2024
BACKGROUND: Globally, pre-eclampsia (PE) is a leading cause of maternal and perinatal morbidity and mortality. PE prediction using routinely collected data has the advantage of being widely applicable, particularly in low-resource settings. Early int...
Humans Machine Learning Diabetes, Gestational Adult Pregnancy Logistic Models Female Area Under Curve Risk Factors Pre-Eclampsia
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Prediction of gestational diabetes mellitus by multiple biomarkers at early gestation.

BMC pregnancy and childbirth Sep 16, 2024
BACKGROUND: It remains unclear which early gestational biomarkers can be used in predicting later development of gestational diabetes mellitus (GDM). We sought to identify the optimal combination of early gestational biomarkers in predicting GDM in m...
Adiponectin China Sex Hormone-Binding Globulin Blood Glucose Pregnancy Insulin-Like Growth Factor Binding Protein 2 ROC Curve Female Insulin-Like Growth Factor I Pregnancy Trimester, First Adult Logistic Models Fibronectins Humans Case-Control Studies Predictive Value of Tests Diabetes, Gestational Machine Learning C-Reactive Protein Biomarkers
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