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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Reproductive and Child Health
Last data update: Apr 18, 2024
. (Total: 63623 Documents since 2012)
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Gestational Diabetes[original query]>>Original Studies[Product Type]
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
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Enhancing gestational diabetes mellitus risk assessment and treatment through GDMPredictor: a machine learning approach.
J Xing et al. J Endocrinol Invest 2024
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Mediating Factors in the Association of Maternal Educational Level With Pregnancy Outcomes: A Mendelian Randomization Study.
Tormod Rogne et al. JAMA Netw Open 2024 7(1) e2351166
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Prediction of gestational diabetes mellitus in Asian women using machine learning algorithms.
Byung Soo Kang et al. Sci Rep 2023 13(1) 13356
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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
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Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm.
Xiaoqi Hu et al. Frontiers in endocrinology 2023 141105062
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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
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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
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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
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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
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Machine Learning-Based Risk Stratification for Gestational Diabetes Management.
Yang Jenny et al. Sensors (Basel, Switzerland) 2022 22(13)
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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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Population-centric Risk Prediction Modeling for Gestational Diabetes Mellitus: A Machine Learning Approach.
Kumar Mukkesh et al. Diabetes research and clinical practice 2022 109237
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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
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Prediction Method of Gestational Diabetes Based on Electronic Medical Record Data.
Liu Yang et al. Journal of healthcare engineering 2021 20216672072
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Postpartum circulating microRNA enhances prediction of future type 2 diabetes in women with previous gestational diabetes.
Joglekar Mugdha V et al. Diabetologia 2021
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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
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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
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Genetic Studies of Gestational Diabetes and Glucose Metabolism in Pregnancy.
Powe Camille E et al. Current diabetes reports 2020 Nov 20(12) 69
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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
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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
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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
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A Novel and Precise Profiling Tool to Predict Gestational Diabetes.
McLaren Rodney et al. Journal of diabetes science and technology 2020 Aug 1932296820948883
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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
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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
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Increased incidence of obstetric complications in women carrying mitochondrial DNA mutations: a retrospective cohort study in a single tertiary centre.
Kuleva M et al. BJOG : an international journal of obstetrics and gynaecology 2019 Oct 126(11) 1372-1379
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Fetal cell-free DNA fraction in maternal plasma for the prediction of hypertensive disorders of pregnancy.
Suzumori Nobuhiro et al. European journal of obstetrics, gynecology, and reproductive biology 2018 Mar 224165-169
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Development and validation of QDiabetes-2018 risk prediction algorithm to estimate future risk of type 2 diabetes: cohort study.
Hippisley-Cox Julia et al. BMJ (Clinical research ed.) 2017 Nov 359j5019
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Implications of failure to achieve a result from prenatal maternal serum cell-free DNA testing: a historical cohort study.
Chan Noni et al. BJOG : an international journal of obstetrics and gynaecology 2017 Nov
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 18, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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