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Public Health Genomics and Precision Health Knowledge Base (v8.2)
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Diabetes
Last data update: Feb 03, 2023
. (Total: 52472 Documents since 2012)
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Prediabetes[original query]>>Original Studies[Product Type]
Testing the Utility of Polygenic Risk Scores for Type 2 Diabetes and Obesity in Predicting Metabolic Changes in a Prediabetic Population: An Observational Study.
Padilla-Martinez Felipe et al. International journal of molecular sciences 2022 23(24)
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Prevalence of prediabetes and associated factors of prediabetic stages: a cross-sectional study among adults in Nepal.
Shakya Pushpanjali et al. BMJ open 2022 12(12) e064516
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MicroRNAs Associated with Incident Diabetes in the Diabetes Prevention Program.
Flowers Elena et al. The Journal of clinical endocrinology and metabolism 2022
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Predicting the 2-Year Risk of Progression from Prediabetes to Diabetes Using Machine Learning among Chinese Elderly Adults.
Liu Qing et al. Journal of personalized medicine 2022 12(7)
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Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes.
Zueger Thomas et al. Diabetes technology & therapeutics 2022
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A Polygenic Score for Type 2 Diabetes Improves Risk Stratification Beyond Current Clinical Screening Factors in an Ancestrally Diverse Sample.
Ashenhurst James R et al. Frontiers in genetics 2022 13871260
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Identification of Prediabetes Discussions in Unstructured Clinical Documentation: Validation of a Natural Language Processing Algorithm.
Schwartz Jessica L et al. JMIR medical informatics 2022 10(2) e29803
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Research on physical activity variability and changes of metabolic profile in patients with prediabetes using Fitbit activity trackers data.
Bliudzius Antanas et al. Technology and health care : official journal of the European Society for Engineering and Medicine 2021
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An Electronic Health Record-Compatible Model to Predict Personalized Treatment Effects From the Diabetes Prevention Program: A Cross-Evidence Synthesis Approach Using Clinical Trial and Real-World Data.
Kent David M et al. Mayo Clinic proceedings 2021
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Exploration of Machine Learning and Statistical Techniques in Development of a Low-Cost Screening Method Featuring the Global Diet Quality Score for Detecting Prediabetes in Rural India.
Birk Nick et al. The Journal of nutrition 2021 151(Supplement_2) 110S-118S
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Machine learning-based glucose prediction with use of continuous glucose and physical activity monitoring data: The Maastricht Study.
van Doorn William P T M et al. PloS one 2021 16(6) e0253125
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Predicting youth diabetes risk using NHANES data and machine learning.
Vangeepuram Nita et al. Scientific reports 2021 11(1) 11212
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Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.
Li Jun et al. International journal of medical informatics 2021 149104429
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A tongue features fusion approach to predicting prediabetes and diabetes with machine learning.
Li Jun et al. Journal of biomedical informatics 2021 Feb 103693
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Early Detection of Prediabetes and T2DM Using Wearable Sensors and Internet-of-Things-Based Monitoring Applications
MM Baig et al, Appl Clin Informatics, January 2021
Early Detection of Prediabetes and T2DM Using Wearable Sensors and Internet-of-Things-Based Monitoring Applications.
Baig Mirza Mansoor et al. Applied clinical informatics 2021 Jan 12(1) 1-9
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PRISQ: a simple risk score to screen for prediabetes: a cross-sectional study from the Qatar Biobank Cohort.
Abbas Mostafa et al. Journal of diabetes investigation 2020 Oct
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Artificial Intelligence Uncovered Clinical Factors for Cardiovascular Events in Myocardial Infarction Patients with Glucose Intolerance.
Shindo Kazuhiro et al. Cardiovascular drugs and therapy 2020 May
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A combined strategy of feature selection and machine learning to identify predictors of prediabetes.
De Silva Kushan et al. Journal of the American Medical Informatics Association : JAMIA 2019 Dec
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Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomics.
Hathaway Quincy A et al. Cardiovascular diabetology 2019 Jun 18(1) 78
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Feasibility of pediatric obesity and prediabetes treatment support through Tess, the AI behavioral coaching chatbot.
Stephens Taylor N et al. Translational behavioral medicine 2019 May 9(3) 440-447
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Precision medicine screening using whole-genome sequencing and advanced imaging to identify disease risk in adults.
Perkins Bradley A et al. Proceedings of the National Academy of Sciences of the United States of America 2018 Mar
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The contribution of family history to the burden of diagnosed diabetes, undiagnosed diabetes, and prediabetes in the United States: analysis of the National Health and Nutrition Examination Survey, 2009-2014.
Moonesinghe Ramal, et al. Genetics in medicine : official journal of the American College of Medical Genetics 2018 1 0.
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Association of Sickle Cell Trait With Hemoglobin A1c in African Americans.
Lacy Mary E et al. JAMA 2017 Feb 317(5) 507-515
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The impact of access to health services on prediabetes awareness: A population-based study.
Campbell Tonya J et al. Preventive medicine 2016 Sep 937-13
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The Sangre Por Salud Biobank: Facilitating Genetic Research in an Underrepresented Latino Community.
Shaibi Gabriel et al. Public health genomics 2016 Jul
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The risk of type 2 diabetes in men is synergistically affected by parental history of diabetes and overweight.
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Family history of diabetes is associated with higher risk for prediabetes: a multicentre analysis from the German Center for Diabetes Research.
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Page last reviewed:
Feb 1, 2023
Page last updated:
Feb 03, 2023
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