Diabetes, Gestational

Prediction of gestational diabetes using deep learning and Bayesian optimization and traditional machine learning techniques.

Medical & biological engineering & computing 36848010

The study aimed to develop a clinical diagnosis system to identify patients in the GD risk group and reduce unnecessary oral glucose tolerance test (OGTT) applications for pregnant women who are not in the GD risk group using deep learning algorithms...

Bayes Theorem Deep Learning Diabetes, Gestational Female Humans Machine Learning Pregnancy Prospective Studies

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Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms.

Archives of gynecology and obstetrics 37477677

PURPOSE: Short- and long-term complications of gestational diabetes mellitus (GDM) involving pregnancies and offspring warrant the development of an effective individualized risk prediction model to reduce and prevent GDM together with its associated...

Adult Algorithms Body Mass Index China Cohort Studies Diabetes, Gestational Female Glycated Hemoglobin Humans Logistic Models Machine Learning Pregnancy Pregnancy Trimester, First Risk Assessment ROC Curve

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Identify gestational diabetes mellitus by deep learning model from cell-free DNA at the early gestation stage.

Briefings in bioinformatics 38168840

Gestational diabetes mellitus (GDM) is a common complication of pregnancy, which has significant adverse effects on both the mother and fetus. The incidence of GDM is increasing globally, and early diagnosis is critical for timely treatment and reduc...

beta-Defensins Cell-Free Nucleic Acids Deep Learning Diabetes, Gestational DNA Copy Number Variations Female Humans Pregnancy Pregnancy Outcome

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Optimizing postprandial glucose prediction through integration of diet and exercise: Leveraging transfer learning with imbalanced patient data.

PloS one 39088422

BACKGROUND: In recent years, numerous methods have been introduced to predict glucose levels using machine-learning techniques on patients' daily behavioral and continuous glucose data. Nevertheless, a definitive consensus remains elusive regarding m...

Adult Bayes Theorem Blood Glucose Diabetes, Gestational Diet Exercise Female Humans Machine Learning Postprandial Period Pregnancy

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Predictive value of ultrasonic artificial intelligence in placental characteristics of early pregnancy for gestational diabetes mellitus.

Frontiers in endocrinology 38544693

BACKGROUND: To explore the predictive value of placental features in early pregnancy for gestational diabetes mellitus (GDM) using deep and radiomics-based machine learning (ML) applied to ultrasound imaging (USI), and to develop a nomogram in conjun...

Artificial Intelligence Diabetes, Gestational Female Humans Neural Networks, Computer Placenta Pregnancy Ultrasonics

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Enhancing gestational diabetes mellitus risk assessment and treatment through GDMPredictor: a machine learning approach.

Journal of endocrinological investigation 38460091

BACKGROUND: Gestational diabetes mellitus (GDM) is a serious health concern that affects pregnant women worldwide and can lead to adverse pregnancy outcomes. Early detection of high-risk individuals and the implementation of appropriate treatment can...

Adult Diabetes, Gestational Female Humans Machine Learning Pregnancy Risk Assessment Risk Factors

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Predicting recurrent gestational diabetes mellitus using artificial intelligence models: a retrospective cohort study.

Archives of gynecology and obstetrics 39080058

BACKGROUND: We aimed to develop novel artificial intelligence (AI) models based on early pregnancy features to forecast the likelihood of recurrent gestational diabetes mellitus (GDM) before 14 weeks of gestation in subsequent pregnancies.

Adult Algorithms Artificial Intelligence Cohort Studies Decision Trees Diabetes, Gestational Female Humans Logistic Models Pregnancy Recurrence Retrospective Studies Support Vector Machine

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Predicting Unfavorable Pregnancy Outcomes in Polycystic Ovary Syndrome (PCOS) Patients Using Machine Learning Algorithms.

Medicina (Kaunas, Lithuania) 39202579

: Polycystic ovary syndrome (PCOS) is a complex disorder that can negatively impact the obstetrical outcomes. The aim of this study was to determine the predictive performance of four machine learning (ML)-based algorithms for the prediction of adver...

Adult Algorithms Diabetes, Gestational Female Humans Machine Learning Polycystic Ovary Syndrome Pregnancy Pregnancy Complications Pregnancy Outcome Prospective Studies

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Machine Learning-Based Prediction of Large-for-Gestational-Age Infants in Mothers With Gestational Diabetes Mellitus.

The Journal of clinical endocrinology and metabolism 39011974

CONTEXT: Large-for-gestational-age (LGA), one of the most common complications of gestational diabetes mellitus (GDM), has become a global concern. The predictive performance of common continuous glucose monitoring (CGM) metrics for LGA is limited.

Adult Birth Weight Blood Glucose Blood Glucose Self-Monitoring Diabetes, Gestational Female Fetal Macrosomia Gestational Age Humans Infant, Large for Gestational Age Infant, Newborn Machine Learning Predictive Value of Tests Pregnancy Prospective Studies

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Prediction of hypertension and diabetes in twin pregnancy using machine learning model based on characteristics at first prenatal visit: national registry study.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 38805609

OBJECTIVE: To develop a prediction model for hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM) in twin pregnancy using characteristics obtained at the first prenatal visit.

Adult Cross-Sectional Studies Diabetes, Gestational Female Humans Hypertension, Pregnancy-Induced Incidence Machine Learning Predictive Value of Tests Pregnancy Pregnancy, Twin Prenatal Care Registries Risk Factors United States

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Explore the latest research on artificial intelligence and machine learning in medicine.

Prediction of gestational diabetes using deep learning and Bayesian optimization and traditional machine learning techniques.

Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms.

Identify gestational diabetes mellitus by deep learning model from cell-free DNA at the early gestation stage.

Optimizing postprandial glucose prediction through integration of diet and exercise: Leveraging transfer learning with imbalanced patient data.

Predictive value of ultrasonic artificial intelligence in placental characteristics of early pregnancy for gestational diabetes mellitus.

Enhancing gestational diabetes mellitus risk assessment and treatment through GDMPredictor: a machine learning approach.

Predicting recurrent gestational diabetes mellitus using artificial intelligence models: a retrospective cohort study.

Predicting Unfavorable Pregnancy Outcomes in Polycystic Ovary Syndrome (PCOS) Patients Using Machine Learning Algorithms.

Machine Learning-Based Prediction of Large-for-Gestational-Age Infants in Mothers With Gestational Diabetes Mellitus.

Prediction of hypertension and diabetes in twin pregnancy using machine learning model based on characteristics at first prenatal visit: national registry study.

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