Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury

IMPORTANCE: Acute kidney injury (AKI) is associated with increased morbidity and mortality in hospitalized patients. Current methods to identify patients at high risk of AKI are limited, and few prediction models have been externally validated. OBJECTIVE: To internally and externally validate a mach...

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Detalhes bibliográficos
Publicado no:JAMA Netw Open
Main Authors: Churpek, Matthew M., Carey, Kyle A., Edelson, Dana P., Singh, Tripti, Astor, Brad C., Gilbert, Emily R., Winslow, Christopher, Shah, Nirav, Afshar, Majid, Koyner, Jay L.
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Association 2020
Assuntos:
Original Investigation
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7420241/
https://ncbi.nlm.nih.gov/pubmed/32780123
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2020.12892
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