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...
Humans Machine Learning Macrophages Biomarkers Diabetes, Gestational Pregnancy Female Gene Regulatory Networks
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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...
Databases, Factual Pregnancy Adult Diabetes, Gestational Female Body Composition Humans Machine Learning
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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...
Biomarkers Pregnancy Female Diabetes, Gestational Early Diagnosis Adult Pregnancy Trimester, First Humans Machine Learning
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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...
Pregnancy Female Adult ROC Curve Humans Machine Learning Algorithms Diabetes, Gestational Dyslipidemias Postpartum Period
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An early prediction model for gestational diabetes mellitus created using machine learning algorithms.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Mar 4, 2025
OBJECTIVE: To investigate high-risk factors for gestational diabetes mellitus (GDM) in early pregnancy through an analysis of demographic and clinical data, and to develops a machine-learning-based prediction model to enhance early diagnosis and inte...
Pregnancy Female Risk Factors Young Adult Machine Learning Algorithms Retrospective Studies Humans Diabetes, Gestational Early Diagnosis Body Mass Index Predictive Value of Tests Adult Risk Assessment ROC Curve
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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 ...
Glucose Tolerance Test Humans Adult Risk Assessment Female Diabetes, Gestational Risk Factors Neural Networks, Computer Pregnancy
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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).
Pregnancy Female Disease Progression Diabetes, Gestational Diabetes Mellitus, Type 2 Predictive Value of Tests Humans Machine Learning
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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...
Humans Iran Female Diabetes, Gestational Adult Machine Learning Cross-Sectional Studies Algorithms Pregnancy Trimester, First Pregnancy
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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...
New South Wales Hospitals, Public Routinely Collected Health Data Propensity Score Incidence Humans Pregnancy Glucose Tolerance Test Observational Studies as Topic Delivery, Obstetric Research Design Information Storage and Retrieval Multilevel Analysis Diabetes, Gestational Retrospective Studies Female Risk Assessment Pregnancy Outcome Logistic Models Predictive Learning Models
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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...
Diabetes, Gestational Logistic Models Area Under Curve Pre-Eclampsia Pregnancy Female Risk Factors Humans Adult Machine Learning
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