Predicting outcomes of acute kidney injury in critically ill patients using machine learning

Acute Kidney Injury (AKI) is a sudden episode of kidney failure that is frequently seen in critically ill patients. AKI has been linked to chronic kidney disease (CKD) and mortality. We developed machine learning-based prediction models to predict outcomes following AKI stage 3 events in the intensi...

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Detalles Bibliográficos
Autores principales: Nateghi Haredasht, Fateme, Viaene, Liesbeth, Pottel, Hans, De Corte, Wouter, Vens, Celine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277277/
https://www.ncbi.nlm.nih.gov/pubmed/37331979
http://dx.doi.org/10.1038/s41598-023-36782-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277277/
https://www.ncbi.nlm.nih.gov/pubmed/37331979
http://dx.doi.org/10.1038/s41598-023-36782-1

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