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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
• Population-centric Risk Prediction Modeling for Gestational Diabetes Mellitus: A Machine Learning Approach.
  Kumar Mukkesh et al. Diabetes research and clinical practice 2022 109237
• An early model to predict the risk of gestational diabetes mellitus in the absence of blood examination indexes: application in primary health care centres.
  Wang Jingyuan et al. BMC pregnancy and childbirth 2021 21(1) 814
• Perinatal health predictors using artificial intelligence: A review.
  Ramakrishnan Rema et al. Women's health (London, England) 2021 1717455065211046132
• Metabolomics can provide new insights into perinatal nutrition.
  Pintus Roberta et al. Acta paediatrica (Oslo, Norway : 1992) 2021
• Prediction Method of Gestational Diabetes Based on Electronic Medical Record Data.
  Liu Yang et al. Journal of healthcare engineering 2021 20216672072
• Postpartum circulating microRNA enhances prediction of future type 2 diabetes in women with previous gestational diabetes.
  Joglekar Mugdha V et al. Diabetologia 2021
• Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation.
  Velardo Carmelo et al. Journal of medical Internet research 2021 23(3) e21435
• Risk factors for illness severity among pregnant women with confirmed SARS-CoV-2 infection - Surveillance for Emerging Threats to Mothers and Babies Network, 20 state, local, and territorial health departments, March 29, 2020 -January 8, 2021
  RR Galang et al, MEDRXIV, March 1, 2021
• Early prediction of gestational diabetes mellitus in the Chinese population via advanced machine learning.
  Wu Yan-Ting et al. The Journal of clinical endocrinology and metabolism 2020 Dec
• Comparison of Multivariable Logistic Regression and Other Machine Learning Algorithms for Prognostic Prediction Studies in Pregnancy Care: Systematic Review and Meta-Analysis.
  Sufriyana Herdiantri et al. JMIR medical informatics 2020 Nov 8(11) e16503
• Genetic Studies of Gestational Diabetes and Glucose Metabolism in Pregnancy.
  Powe Camille E et al. Current diabetes reports 2020 Nov 20(12) 69
• An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study.
  Shen Jiayi et al. Journal of medical Internet research 2020 Sep 22(9) e21573
• Managing gestational diabetes mellitus using a smartphone application with artificial intelligence (SineDie©) during the COVID-19 pandemic: Much more than just telemedicine.
  Albert Lara et al. Diabetes research and clinical practice 2020 Sep 108396
• Association of polycystic ovary syndrome or anovulatory infertility with offspring psychiatric and mild neurodevelopmental disorders: a Finnish population-based cohort study.
  Chen Xinxia et al. Human reproduction (Oxford, England) 2020 Aug
• Machine learning risk score for prediction of gestational diabetes in early pregnancy in Tianjin, China.
  Liu Hongwei et al. Diabetes/metabolism research and reviews 2020 Aug e3397
• A Novel and Precise Profiling Tool to Predict Gestational Diabetes.
  McLaren Rodney et al. Journal of diabetes science and technology 2020 Aug 1932296820948883
• Lifestyle intervention modifies the effect of the MC4R genotype on changes in insulin resistance among women with prior gestational diabetes: Tianjin Gestational Diabetes Mellitus Prevention Program.
  Chen Yuhang et al. The American journal of clinical nutrition 2019 110(3) 750-758
• Machine learning as a strategy to account for dietary synergy: an illustration based on dietary intake and adverse pregnancy outcomes.
  Bodnar Lisa M et al. The American journal of clinical nutrition 2020 Feb
• Genetic profile may predict chance of type 2 diabetes among women with gestational diabetes
  NIH News Release, February 13, 2020
• Investigating the use of data-driven artificial intelligence in computerised decision support systems for health and social care: A systematic review.
  Cresswell Kathrin et al. Health informatics journal 2020 Jan 1460458219900452

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