Continuous and early prediction of future moderate and severe Acute Kidney Injury in critically ill patients: Development and multi-centric, multi-national external validation of a machine-learning model

BACKGROUND: Acute Kidney Injury (AKI) is a major complication in patients admitted to Intensive Care Units (ICU), causing both clinical and economic burden on the healthcare system. This study develops a novel machine-learning (ML) model to predict, with several hours in advance, the AKI episodes of...

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Detalles Bibliográficos
Autores principales: Alfieri, Francesca, Ancona, Andrea, Tripepi, Giovanni, Rubeis, Andrea, Arjoldi, Niccolò, Finazzi, Stefano, Cauda, Valentina, Fagugli, Riccardo Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368244/
https://www.ncbi.nlm.nih.gov/pubmed/37490482
http://dx.doi.org/10.1371/journal.pone.0287398

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368244/
https://www.ncbi.nlm.nih.gov/pubmed/37490482
http://dx.doi.org/10.1371/journal.pone.0287398

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