Machine learning model for early prediction of acute kidney injury (AKI) in pediatric critical care

Machine learning model for early prediction of acute kidney injury (AKI) in pediatric critical care

Abstract Background Acute kidney injury (AKI) in pediatric critical care patients is diagnosed using elevated serum creatinine, which occurs only after kidney impairment. There are no treatments other than supportive care for AKI once it has developed, so it is important to identify patients at risk...

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Bibliographic Details
Main Authors: Junzi Dong, Ting Feng, Binod Thapa-Chhetry, Byung Gu Cho, Tunu Shum, David P. Inwald, Christopher J. L. Newth, Vinay U. Vaidya
Format: Article
Language:English
Published: BMC 2021-08-01
Series:Critical Care
Subjects:
Acute kidney injury
AKI
Pediatric critical care
Machine learning
Predictive model
Online Access:https://doi.org/10.1186/s13054-021-03724-0

Internet

https://doi.org/10.1186/s13054-021-03724-0

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