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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)
Diabetes
Last data update: May 09, 2024
. (Total: 63814 Documents since 2012)
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Medication Adherence and Cardiometabolic Control Indicators Among American Indian Adults Receiving Tribal Health Services: Protocol for a Longitudinal Electronic Health Records Study.
Scarton Lisa et al. JMIR research protocols 2022 11(10) e39193
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Detecting High-Risk Factors and Early Diagnosis of Diabetes Using Machine Learning Methods.
Ullah Zahid et al. Computational intelligence and neuroscience 2022 20222557795
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Development and Validation of an Insulin Resistance Model for a Population with Chronic Kidney Disease Using a Machine Learning Approach.
Lee Chia-Lin et al. Nutrients 2022 14(14)
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Random forest approach for determining risk prediction and predictive factors of type 2 diabetes: large-scale health check-up data in Japan.
Ooka Tadao et al. BMJ nutrition, prevention & health 2021 4(1) 140-148
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Deciphering CT texture features of human visceral fat to evaluate metabolic disorders and surgery-induced weight loss effects.
Shi Juan et al. EBioMedicine 2021 69103471
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Reducing HbA1c in Type 2 Diabetes Using Digital Twin Technology-Enabled Precision Nutrition: A Retrospective Analysis.
Shamanna Paramesh et al. Diabetes therapy : research, treatment and education of diabetes and related disorders 2020 Sep
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TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records.
Bernardini Michele et al. Computers in biology and medicine 2019 Jul 112103358
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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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