A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients

BACKGROUND: Acute Kidney Injury (AKI), a frequent complication of pateints in the Intensive Care Unit (ICU), is associated with a high mortality rate. Early prediction of AKI is essential in order to trigger the use of preventive care actions. METHODS: The aim of this study was to ascertain the accu...

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Detalles Bibliográficos
Autores principales: Alfieri, Francesca, Ancona, Andrea, Tripepi, Giovanni, Crosetto, Dario, Randazzo, Vincenzo, Paviglianiti, Annunziata, Pasero, Eros, Vecchi, Luigi, Cauda, Valentina, Fagugli, Riccardo Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610952/
https://www.ncbi.nlm.nih.gov/pubmed/33900581
http://dx.doi.org/10.1007/s40620-021-01046-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610952/
https://www.ncbi.nlm.nih.gov/pubmed/33900581
http://dx.doi.org/10.1007/s40620-021-01046-6

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