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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Reproductive and Child Health

Last data update: Jan 27, 2023. (Total: 52315 Documents since 2012)
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Records 1 - 18 (of 18 Records)

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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
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
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
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
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
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
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
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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