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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Vydáno v:JAMA Netw Open
Hlavní autoři: 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.
Médium: Artigo
Jazyk:Inglês
Vydáno: American Medical Association 2020
Témata:
Original Investigation
On-line přístup: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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