Predicting Nephrotoxic Acute Kidney Injury in Hospitalized Adults: A Machine Learning Algorithm

Predicting Nephrotoxic Acute Kidney Injury in Hospitalized Adults: A Machine Learning Algorithm

Rationale and Objective: Acute kidney injury (AKI) is a common complication among hospitalized adults, but AKI prediction and prevention among adults has proved challenging. We used machine learning to update the nephrotoxic injury negated by just-in time action (NINJA), a pediatric program that pre...

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Bibliographic Details
Main Authors: Benjamin R. Griffin, Avinash Mudireddy, Benjamin D. Horne, Michel Chonchol, Stuart L. Goldstein, Michihiko Goto, Michael E. Matheny, W. Nick Street, Mary Vaughan-Sarrazin, Diana I. Jalal, Jason Misurac
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Kidney Medicine
Subjects:
Drug-induced acute kidney injury
nephrotoxicity
machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2590059524001298
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