Machine learning algorithm for predict the in-hospital mortality in critically ill patients with congestive heart failure combined with chronic kidney disease-Reference-Cited by-同舟云学术

Machine learning algorithm for predict the in-hospital mortality in critically ill patients with congestive heart failure combined with chronic kidney disease

Published:2024-02-15 Issue:1 Volume:46 Page:
ISSN:0886-022X
Container-title:Renal Failure
language:en
Short-container-title:Renal Failure

Author:

Li Xunliang¹²,Wang Zhijuan¹²,Zhao Wenman¹²^ORCID,Shi Rui¹²,Zhu Yuyu¹²,Pan Haifeng²³⁴,Wang Deguang¹²

Affiliation:

1. Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China

2. Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, China

3. Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China

4. Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0886022X.2024.2315298

Reference29 articles.

1. The heart failure epidemic: exactly how big is it?

2. Renal Insufficiency and Heart Failure

3. Renal impairment, worsening renal function, and outcome in patients with heart failure: an updated meta-analysis

4. The kidney in heart failure: an update

5. The impact of the use of the Early Warning Score (EWS) on patient outcomes: A systematic review

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