How to predict acute kidney injury
DING Qi
LI Wen-xiong
Abstract：Acute kidney injury(AKI)is a common severe syndrome with high mortality,which can progress to chronic kidney disease.Early risk assessment,accurate prediction,and prompt diagnosis are crucial in the management of AKI.Advancements in biomarkers and machine learning based on big data have made it possible to predict AKI.This article provides a summary of the application of biomarkers and machine learning in AKI prediction.
Keywords：acute kidney injurybiomarkersmachine learning
Publication Date：2023-12-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 982-985 )