Machine learning-based models for gestational diabetes mellitus prediction before 24–28 weeks of pregnancy: A review
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Medicine (miscellaneous)
Reference140 articles.
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3. Association of gestational diabetes with maternal disorders of glucose metabolism and childhood adiposity;Lowe;JAMA,2018
4. Hyperglycemia and adverse pregnancy outcome follow-up study (HAPO FUS): maternal gestational diabetes mellitus and childhood glucose metabolism;Lowe;Diabetes Care,2019
5. Gestational diabetes risk factors and long-term consequences for both mother and offspring: a literature review;Farahvar;Expert Rev Endocrinol Metab,2019
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1. Prediction of Gestational Diabetes Mellitus in the First Trimester of Pregnancy Based on Maternal Variables and Pregnancy Biomarkers;Nutrients;2023-12-29
2. Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine learning model;International Journal of Medical Informatics;2023-11
3. Integration of clinical demographics and routine laboratory analysis parameters for early prediction of gestational diabetes mellitus in the Chinese population;Frontiers in Endocrinology;2023-10-13
4. Prediction of gestational diabetes mellitus using machine learning from birth cohort data of the Japan Environment and Children's Study;Scientific Reports;2023-10-13
5. Prediction of gestational diabetes mellitus in Asian women using machine learning algorithms;Scientific Reports;2023-08-16
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