Prediction of the development of acute kidney injury following cardiac surgery by machine learning

Prediction of the development of acute kidney injury following cardiac surgery by machine learning

Abstract Background Cardiac surgery–associated acute kidney injury (CSA-AKI) is a major complication that results in increased morbidity and mortality after cardiac surgery. Most established prediction models are limited to the analysis of nonlinear relationships and fail to fully consider intraoper...

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Bibliographic Details
Main Authors: Po-Yu Tseng, Yi-Ting Chen, Chuen-Heng Wang, Kuan-Ming Chiu, Yu-Sen Peng, Shih-Ping Hsu, Kang-Lung Chen, Chih-Yu Yang, Oscar Kuang-Sheng Lee
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Critical Care
Subjects:
Cardiac surgery
Acute kidney injury
Machine learning
Prediction
Online Access:http://link.springer.com/article/10.1186/s13054-020-03179-9

Internet

http://link.springer.com/article/10.1186/s13054-020-03179-9

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