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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7420241/
https://www.ncbi.nlm.nih.gov/pubmed/32780123
http://dx.doi.org/10.1001/jamanetworkopen.2020.12892

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7420241/
https://www.ncbi.nlm.nih.gov/pubmed/32780123
http://dx.doi.org/10.1001/jamanetworkopen.2020.12892

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