Machine learning in the prediction of cardiac surgery associated acute kidney injury with early postoperative biomarkers

Machine learning in the prediction of cardiac surgery associated acute kidney injury with early postoperative biomarkers

PurposeTo establish novel prediction models for predicting acute kidney injury (AKI) after cardiac surgery based on early postoperative biomarkers.Patients and methodsThis study enrolled patients who underwent cardiac surgery in a Chinese tertiary cardiac center and consisted of a discovery cohort (...

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Bibliographic Details
Main Authors: Rui Fan, Wei Qin, Hao Zhang, Lichun Guan, Wuwei Wang, Jian Li, Wen Chen, Fuhua Huang, Hang Zhang, Xin Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Surgery
Subjects:
acute kidney injury
cardiac surgery
biomarker
nomogram
machine learning
random forest
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2023.1048431/full

Internet

https://www.frontiersin.org/articles/10.3389/fsurg.2023.1048431/full

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