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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)
Last data update: Apr 25, 2024
. (Total: 63675 Documents since 2012)
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Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data.
Jun-Bo Tu et al. Sci Rep 2024 14(1) 5245
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Prediction models for earlier stages of chronic kidney disease.
Mackenzie Alexiuk et al. Curr Opin Nephrol Hypertens 2024
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Development and deployment of a nationwide predictive model for chronic kidney disease progression in diabetic patients.
Zhiyan Fu et al. Front Nephrol 2024 31237804
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Machine learning model to estimate probability of remission in patients with idiopathic membranous nephropathy.
Lijin Duo et al. Int Immunopharmacol 2023 125(Pt A) 111126
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Unlocking Precision Medicine for Prognosis of Chronic Kidney Disease Using Machine Learning.
Yogita Dubey et al. Diagnostics (Basel) 2023 13(19)
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Applications of Artificial Intelligence Methods for the Prediction of Osteoporotic Fractures.
Dorota Lis-Studniarska et al. Life (Basel) 2023 13(8)
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CKD Progression Prediction in a Diverse US Population: A Machine-Learning Model.
Joseph Aoki et al. Kidney Med 2023 5(9) 100692
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A Systematic Review and Meta-Analysis of Applying Deep Learning in the Prediction of the Risk of Cardiovascular Diseases From Retinal Images.
Wenyi Hu et al. Transl Vis Sci Technol 2023 12(7) 14
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Practical Utilization of Prediction Equations in Chronic Kidney Disease.
Navdeep Tangri et al. Blood Purif 2023 1-7
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Predicting outcomes of acute kidney injury in critically ill patients using machine learning.
Fateme Nateghi Haredasht et al. Sci Rep 2023 13(1) 9864
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Current progress in artificial intelligence-assisted medical image analysis for chronic kidney disease: A literature review.
Dan Zhao et al. Comput Struct Biotechnol J 2023 213315-3326
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Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors.
Young Su Joo et al. NPJ Digit Med 2023 6(1) 114
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Predicting hyperkalemia in patients with advanced chronic kidney disease using the XGBoost model.
Hsin-Hsiung Chang et al. BMC Nephrol 2023 24(1) 169
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A deep learning-based dynamic model for predicting acute kidney injury risk severity in postoperative patients.
Esra Adiyeke et al. Surgery 2023
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Improving Kidney Outcomes in Patients With Nondiabetic Chronic Kidney Disease Through an Artificial Intelligence-Based Health Coaching Mobile App: Retrospective Cohort Study.
Wei Liu et al. JMIR Mhealth Uhealth 2023 11e45531
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Symptoms for early diagnosis of chronic kidney disease in children - a machine learning-based score.
Paulo Cesar Koch Nogueira et al. Eur J Pediatr 2023
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Machine learning algorithm to predict the in-hospital mortality in critically ill patients with chronic kidney disease.
Xunliang Li et al. Ren Fail 2023 45(1) 2212790
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Revolutionizing Chronic Kidney Disease Management with Machine Learning and Artificial Intelligence.
Pajaree Krisanapan et al. J Clin Med 2023 12(8)
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Machine learning-based prediction of cerebral hemorrhage in patients with hemodialysis: A multicenter, retrospective study.
Fengda Li et al. Front Neurol 141139096
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Machine-learning enhancement of urine dipstick tests for chronic kidney disease detection.
Eun Chan Jang et al. Journal of the American Medical Informatics Association : JAMIA 2023
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Development and Validation of a Prediction Model for Future Estimated Glomerular Filtration Rate in People With Type 2 Diabetes and Chronic Kidney Disease.
Mariella Gregorich et al. JAMA network open 2023 6(4) e231870
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Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease.
Hira Khalid et al. Computational intelligence and neuroscience 2023 20239266889
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High-dimensional machine learning to predict hospital readmission among older people with chronic kidney disease: abridged secondary publication.
Q Zhang et al. Hong Kong medical journal = Xianggang yi xue za zhi 2023 29 Suppl 1(1) 24-26
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Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes.
Shruthi Chari et al. Artificial intelligence in medicine 2023 137102498
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Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals.
Ashkan Dashtban et al. EBioMedicine 2023 89104489
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ESKD Risk Prediction Model in a Multicenter Chronic Kidney Disease Cohort in China: A Derivation, Validation, and Comparison Study.
Miao Hui et al. Journal of clinical medicine 2023 12(4)
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Machine-learning-based Web system for the prediction of chronic kidney disease progression and mortality.
Eiichiro Kanda et al. PLOS digital health 2023 2(1) e0000188
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Predict, diagnose, and treat chronic kidney disease with machine learning: a systematic literature review.
Francesco Sanmarchi et al. Journal of nephrology 2023
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Cardiothoracic ratio values and trajectories are associated with risk of requiring dialysis and mortality in chronic kidney disease.
Che-Yi Chou et al. Communications medicine 2023 3(1) 19
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Chronic kidney disease prediction based on machine learning algorithms.
Md Ariful Islam et al. Journal of pathology informatics 2023 14100189
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 25, 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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