Development and validation of a machine-learning model for predicting the risk of death in sepsis patients with acute kidney injury
Author:
Funder
Capital Medical University Affiliated Beijing Friendship Hospital
Publisher
Elsevier BV
Reference29 articles.
1. The third international consensus definitions for sepsis and septic shock (Sepsis-3);Singer;JAMA,2016
2. KDIGO clinical practice guideline for acute kidney injury;Kidney inter.,2012
3. Acute kidney injury in sepsis;Bellomo;Intensive Care Med.,2017
4. Acute kidney injury from sepsis: current concepts, epidemiology, pathophysiology, prevention and treatment;Peerapornratana;Kidney Int.,2019
5. A clinically applicable approach to continuous prediction of future acute kidney injury;Tomašev;Nature,2019
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