Diabetic Nephropathy
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Last Posted: May 21, 2024
- Machine Learning-Based Predictive Modeling of Diabetic Nephropathy in Type 2 Diabetes Using Integrated Biomarkers: A Single-Center Retrospective Study.
Ying Zhu et al. Diabetes Metab Syndr Obes 2024 171987-1997 - Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms.
Shuo-Ming Ou et al. BioData mining 2023 16(1) 8 - Metabolomic Selection in the Progression of Type 2 Diabetes Mellitus: A Genetic Algorithm Approach.
Morgan-Benita Jorge et al. Diagnostics (Basel, Switzerland) 2022 12(11) - Predicting diabetic nephropathy in type 2 diabetic patients using machine learning algorithms.
Hosseini Sarkhosh Seyyed Mahdi et al. Journal of diabetes and metabolic disorders 2022 21(2) 1433-1441 - New Diagnostic Model for the Differentiation of Diabetic Nephropathy From Non-Diabetic Nephropathy in Chinese Patients.
Zhang WeiGuang et al. Frontiers in endocrinology 2022 13913021 - Evaluation of Functional Magnetic Resonance Imaging under Artificial Intelligence Algorithm on Plan-Do-Check-Action Home Nursing for Patients with Diabetic Nephropathy.
Du Qianqian et al. Contrast media & molecular imaging 2022 20229882532 - Body Mass Index and Risk of Diabetic Nephropathy: A Mendelian Randomization Study.
Lu Jingru et al. The Journal of clinical endocrinology and metabolism 2022 - Genetic Risk Score Enhances Coronary Artery Disease Risk Prediction in Individuals With Type 1 Diabetes.
Lithovius Raija et al. Diabetes care 2022 - Machine Learning Approaches to Predict Risks of Diabetic Complications and Poor Glycemic Control in Nonadherent Type 2 Diabetes.
Fan Yuting et al. Frontiers in pharmacology 2021 12665951 - The association of Interieukin-6 polymorphism (rs1800795) with microvascular complications in type 2 diabetes mellitus.
Cui Jieyuan et al. Bioscience reports 2020 Oct
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About Diabetes PHGKB
Diabetes PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to diabetes...more
Content Summary
Common Diabetes Related Topics
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
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