Predicting Acute Kidney Injury after Cardiac Surgery by Machine Learning Approaches

Predicting Acute Kidney Injury after Cardiac Surgery by Machine Learning Approaches

Cardiac surgery-associated AKI (CSA-AKI) is common after cardiac surgery and has an adverse impact on short- and long-term mortality. Early identification of patients at high risk of CSA-AKI by applying risk prediction models allows clinicians to closely monitor these patients and initiate effective...

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Bibliographic Details
Main Authors: Charat Thongprayoon, Panupong Hansrivijit, Tarun Bathini, Saraschandra Vallabhajosyula, Poemlarp Mekraksakit, Wisit Kaewput, Wisit Cheungpasitporn
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Journal of Clinical Medicine
Subjects:
acute kidney injury
AKI
cardiac surgery
machine learning
artificial intelligence
nephrology
Online Access:https://www.mdpi.com/2077-0383/9/6/1767

Internet

https://www.mdpi.com/2077-0383/9/6/1767

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