Clinical risk assessment of patients with chronic kidney disease by using clinical data and multivariate models-Reference-Cited by-同舟云学术

Clinical risk assessment of patients with chronic kidney disease by using clinical data and multivariate models

Published:2016-06-22 Issue:12 Volume:48 Page:2069-2075
ISSN:0301-1623
Container-title:International Urology and Nephrology
language:en
Short-container-title:Int Urol Nephrol

Author:

Chen Zewei,Zhang Xin,Zhang Zhuoyong^ORCID

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Urology,Nephrology

Link

http://link.springer.com/content/pdf/10.1007/s11255-016-1346-4.pdf

Reference26 articles.

1. Zhang LX, Wang F, Wang L et al (2012) Prevalence of chronic kidney disease in China: a cross-sectional survey. Lancet 379:815–822

2. Cueto-Manzano AM, Cortes-Sanabria L, Martínez-Ramirez HR et al (2014) Prevalence of chronic kidney disease in an adult population. Arch Med Res 45:507–513

3. Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group (2013) KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl 3:1–150

4. National Institute for Health and Care Excellence (2014) Chronic Kidney Disease: early identification and management of chronic kidney disease in adults in primary and secondary care. Clinical Guidelines, London, National Institute for Health and Care Excellence

5. Wish JB (2014) 57-anemia and other hematologic complications of chronic kidney disease. In: Gilbert SJ (ed) National kidney foundation primer on kidney diseases, 6th edn. Elsevier Saunders, Philadelphia, pp 497–506

Cited by 45 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ML-Based Chronic Kidney Disease and Diabetes Prediction with Feature Effect Analysis Using SHAP;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. Pathways to chronic disease detection and prediction: Mapping the potential of machine learning to the pathophysiological processes while navigating ethical challenges;Chronic Diseases and Translational Medicine;2024-06-09

3. Fuzzy Logic based Expert System for Early Predicting of Chronic Kidney Disease;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

4. Early prediction of nephropathy chronic with supervised machine learning algorithms and feature selection method;2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS);2024-04-24

5. Transformer-based time-to-event prediction for chronic kidney disease deterioration;Journal of the American Medical Informatics Association;2024-02-13