The potential for artificial intelligence to predict clinical outcomes in patients who have acquired acute kidney injury during the perioperative period

Acute kidney injury (AKI) is a common medical problem in hospitalised patients worldwide that may result in negative physiological, social and economic consequences. Amongst patients admitted to ICU with AKI, over 40% have had either elective or emergency surgery prior to admission. Predicting outco...

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Detalles Bibliográficos
Autores principales: Kelly, Barry J., Chevarria, Julio, O’Sullivan, Barry, Shorten, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Editorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672488/
https://www.ncbi.nlm.nih.gov/pubmed/34906249
http://dx.doi.org/10.1186/s13741-021-00219-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672488/
https://www.ncbi.nlm.nih.gov/pubmed/34906249
http://dx.doi.org/10.1186/s13741-021-00219-y

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