A deep learning–based dynamic model for predicting acute kidney injury risk severity in postoperative patients-Reference-Cited by-同舟云学术

A deep learning–based dynamic model for predicting acute kidney injury risk severity in postoperative patients

Published:2023-09 Issue:3 Volume:174 Page:709-714
ISSN:0039-6060
Container-title:Surgery
language:en
Short-container-title:Surgery

Author:

Adiyeke Esra^ORCID,Ren Yuanfang^ORCID,Ruppert Matthew M.^ORCID,Shickel Benjamin^ORCID,Kane-Gill Sandra L.,Murugan Raghavan^ORCID,Rashidi Parisa^ORCID,Bihorac Azra^ORCID,Ozrazgat-Baslanti Tezcan^ORCID

Funder

National Center for Advancing Translational Sciences

National Institutes of Health

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

Elsevier BV

Subject

Surgery

Reference35 articles.

1. Acute kidney injury after major surgery: a retrospective analysis of veterans health administration data;Grams;Am J Kidney Dis,2016

2. Acute kidney injury associated with cardiac surgery;Rosner;Clin J Am Soc Nephrol,2006

3. Risk stratification for postoperative acute kidney injury in major noncardiac surgery using preoperative and intraoperative data;Lei;JAMA Netw Open,2019

4. Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease;Levin;Kidney Int Suppl (2011),2013

5. Acute kidney injury;Kellum;Nat Rev Dis Primers,2021

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