Prediction of acute kidney injury after cardiac surgery: model development using a Chinese electronic health record dataset

Background: Acute kidney injury (AKI) is a major complication following cardiac surgery that substantially increases morbidity and mortality. Current diagnostic guidelines based on elevated serum creatinine and/or the presence of oliguria potentially delay its diagnosis. We presented a series of mod...

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Bibliographic Details
Main Authors:	Chen, W. (Author), Chen, X. (Author), Tang, Y. (Author), Wang, Z. (Author), Wu, Y. (Author), You, D. (Author), Yu, M. (Author), Zhang, H. (Author), Zhao, Y. (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2022
Subjects:	acute kidney failure Acute kidney injury Acute Kidney Injury adult Adult adverse event Cardiac surgery Cardiac Surgical Procedures China Deep forest electronic health record Electronic Health Records heart surgery human Humans Machine learning Nomogram procedures Random forest risk assessment Risk Assessment XGBoost
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Prediction of acute kidney injury after cardiac surgery: model development using a Chinese electronic health record dataset

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