Systematic review of externally validated machine learning models for predicting acute kidney injury in general hospital patients

Acute kidney injury (AKI) is one of the most common and consequential complications among hospitalized patients. Timely AKI risk prediction may allow simple interventions that can minimize or avoid the harm associated with its development. Given the multifactorial and complex etiology of AKI, machin...

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Detalles Bibliográficos
Autores principales: Wainstein, Marina, Flanagan, Emily, Johnson, David W., Shrapnel, Sally
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Nephrology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10479567/
https://www.ncbi.nlm.nih.gov/pubmed/37675372
http://dx.doi.org/10.3389/fneph.2023.1220214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10479567/
https://www.ncbi.nlm.nih.gov/pubmed/37675372
http://dx.doi.org/10.3389/fneph.2023.1220214

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