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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Public Health Genomics Branch
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Reproductive and Child Health
Last data update: May 09, 2024
. (Total: 63814 Documents since 2012)
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Records 1 - 27 (of 27 Records)
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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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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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Machine learning and disease prediction in obstetrics.
Zara Arain et al. Curr Res Physiol 2023 6100099
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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
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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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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
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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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Perinatal health predictors using artificial intelligence: A review.
Ramakrishnan Rema et al. Women's health (London, England) 2021 1717455065211046132
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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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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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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
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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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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
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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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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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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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Page last reviewed:
Feb 1, 2024
Page last updated:
May 09, 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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