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Last Posted: Apr 02, 2024

• Predictive value of ultrasonic artificial intelligence in placental characteristics of early pregnancy for gestational diabetes mellitus.
  Huien Zhou et al. Front Endocrinol (Lausanne) 2024 151344666
• Enhancing gestational diabetes mellitus risk assessment and treatment through GDMPredictor: a machine learning approach.
  J Xing et al. J Endocrinol Invest 2024
• Mediating Factors in the Association of Maternal Educational Level With Pregnancy Outcomes: A Mendelian Randomization Study.
  Tormod Rogne et al. JAMA Netw Open 2024 1 (1) e2351166
• What Is Prediabetes?
  J Jin, JAMA Patient Corner, December 1, 2023
• Participant characteristics in the prevention of gestational diabetes as evidence for precision medicine: a systematic review and meta-analysis
  S Lim et al, Comm Medicine, October 5, 2023
• Prediction of gestational diabetes mellitus in Asian women using machine learning algorithms.
  Byung Soo Kang et al. Sci Rep 2023 13(1) 13356
• Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy.
  Gabriel Cubillos et al. BMC Pregnancy Childbirth 2023 23(1) 469
• Machine learning and disease prediction in obstetrics.
  Zara Arain et al. Curr Res Physiol 2023 6100099
• Genetics and Epigenetics: Implications for the Life Course of Gestational Diabetes.
  William L Lowe et al. Int J Mol Sci 2023 24(7)
• Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes.
  Huiqi Y Lu et al. IEEE reviews in biomedical engineering 2023 PP
• Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm.
  Xiaoqi Hu et al. Frontiers in endocrinology 2023 141105062
• A machine learning approach for early prediction of gestational diabetes mellitus using elemental contents in fingernails.
  Yun-Nam Chan et al. Scientific reports 2023 13(1) 4184
• Development and validation of risk prediction models for large for gestational age infants using logistic regression and two machine learning algorithms.
  Ning Wang et al. Journal of diabetes 2023
• Analysis of Pregnancy Complications and Epigenetic Gestational Age of Newborns
  CL Acosta et al, JAMA Network Open, February 24, 2023
• The effects of heparin, aspirin, and maternal clinical factors on the rate of non-reportable cell-free DNA results: A retrospective cohort study.
  Nitsche Joshua F et al. American journal of obstetrics & gynecology MFM 2022 100846
• Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning.
  Becker Martin et al. Frontiers in pediatrics 2022 10933266
• Effectiveness of Smartphone-Based Lifestyle Interventions on Women with Gestational Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.
  Wang Hongjuan et al. Psychology research and behavior management 2022 153541-3559
• Development and validation of prediction models for gestational diabetes treatment modality using supervised machine learning: a population-based cohort study.
  Liao Lauren D et al. BMC medicine 2022 20(1) 307
• Machine Learning-Based Risk Stratification for Gestational Diabetes Management.
  Yang Jenny et al. Sensors (Basel, Switzerland) 2022 22(13)
• Effect of smartphone app-based health care intervention for health management of high-risk mothers: a study protocol for a randomized controlled trial.
  Kim Bora et al. Trials 2022 23(1) 486

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