Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning

BACKGROUND: Acute kidney injury (AKI) carries a poor prognosis. Its incidence is increasing in the intensive care unit (ICU). Our purpose in this study is to develop and externally validate a model for predicting AKI in the ICU using patient data present prior to ICU admission. METHODS: We used data...

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Detalles Bibliográficos
Autores principales: Shawwa, Khaled, Ghosh, Erina, Lanius, Stephanie, Schwager, Emma, Eshelman, Larry, Kashani, Kianoush B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8087133/
https://www.ncbi.nlm.nih.gov/pubmed/33959271
http://dx.doi.org/10.1093/ckj/sfaa145

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8087133/
https://www.ncbi.nlm.nih.gov/pubmed/33959271
http://dx.doi.org/10.1093/ckj/sfaa145

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