Machine learning for the prediction of acute kidney injury in patients after cardiac surgery

Machine learning for the prediction of acute kidney injury in patients after cardiac surgery

Cardiac surgery-associated acute kidney injury (CSA-AKI) is the most prevalent major complication of cardiac surgery and exerts a negative effect on a patient's prognosis, thereby leading to mortality. Although several risk assessment models have been developed for patients undergoing cardiac s...

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Bibliographic Details
Main Authors: Xin Xue, Zhiyong Liu, Tao Xue, Wen Chen, Xin Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Surgery
Subjects:
cardiac surgery
acute kidney injury
machine learning
random forest
risk model
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2022.946610/full

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https://www.frontiersin.org/articles/10.3389/fsurg.2022.946610/full

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