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...

Descrición completa

Gardado en:
Detalles Bibliográficos
Publicado en: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: American Medical Association 2020
Assuntos:
Original Investigation
Acceso en liña: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
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Títulos similares