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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Vydáno v:Clin Kidney J
Hlavní autoři: Shawwa, Khaled, Ghosh, Erina, Lanius, Stephanie, Schwager, Emma, Eshelman, Larry, Kashani, Kianoush B
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2020
Témata:
Original Articles
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8087133/
https://ncbi.nlm.nih.gov/pubmed/33959271
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ckj/sfaa145
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