A prediction and interpretation framework of acute kidney injury in critical care-Reference-Cited by-同舟云学术

A prediction and interpretation framework of acute kidney injury in critical care

Published:2021-01 Issue: Volume:113 Page:103653
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Gong Kaidi,Lee Hyo Kyung,Yu Kaiye^ORCID,Xie Xiaolei^ORCID,Li Jingshan^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference63 articles.

1. Others, Kidney disease: improving global outcomes (KDIGO) acute kidney injury work group. KDIGO clinical practice guideline for acute kidney injury;Kellum;Kidney Int. Suppl.,2012

2. Acute kidney injury: definition, pathophysiology and clinical phenotypes;Makris;Clin. Biochem. Rev.,2016

3. The effect of acute renal failure on mortality: a cohort analysis;Levy;JAMA,1996

4. An assessment of the RIFLE criteria for acute renal failure in hospitalized patients;Uchino;Crit. Care Med.,2006

5. Diagnosis, epidemiology and outcomes of acute kidney injury;Waikar;Clin. J. Am. Soc. Nephrol.,2008

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