
Last Posted: Jun 20, 2024
- Genomic Testing in Patients with Kidney Failure of an Unknown Cause: a National Australian Study.
Amali C Mallawaarachchi et al. Clin J Am Soc Nephrol 2024 - Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases.
Yifei Wana et al. J Biomed Inform 2024 104677 - Predicting the Progression of Chronic Kidney Disease: A Systematic Review of Artificial Intelligence and Machine Learning Approaches.
Fizza Khalid et al. Cureus 2024 16(5) e60145 - A Klotho-Based Machine Learning Model for Prediction of both Kidney and Cardiovascular Outcomes in Chronic Kidney Disease.
Yating Wang et al. Kidney Dis (Basel) 2024 10(3) 200-212 - Physical performance strongly predicts all-cause mortality risk in a real-world population of older diabetic patients: machine learning approach for mortality risk stratification.
Alberto Montesanto et al. Front Endocrinol (Lausanne) 2024 151359482 - Personalised prediction of maintenance dialysis initiation in patients with chronic kidney disease stages 3-5: a multicentre study using the machine learning approach.
Anh Trung Hoang et al. BMJ Health Care Inform 2024 31(1) - Predicting chronic kidney disease progression with artificial intelligence.
Mario A Isaza-Ruget et al. BMC Nephrol 2024 25(1) 148 - Exploring the impact and utility of genomic sequencing in established CKD.
Julia Jefferis et al. Clin Kidney J 2024 17(3) sfae043 - 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 - Prediction models for earlier stages of chronic kidney disease.
Mackenzie Alexiuk et al. Curr Opin Nephrol Hypertens 2024
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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics 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.