Characterizing the temporal changes in association between modifiable risk factors and acute kidney injury with multi-view analysis.

Background: Acute kidney injury (AKI) is a common life-threatening clinical syndrome in hospitalized patients. Advances in machine learning has demonstrated success in AKI risk prediction using electronic health records (EHRs). However, to prevent AKI, it is critical to identify clinically modifiabl...

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Bibliographic Details

Published in:	International Journal of Medical Informatics Vol. 163
Main Authors:	Liu, Kang, Yuan, Borong, Zhang, Xiangzhou, Chen, Weiqi, Patel, Lav P., Hu, Yong, Liu, Mei
Format:	research Journal Article
Published:	Elsevier B.V. Jul2022
Online Access:	View this record in EBSCOhost