Utilizing electronic health records to predict acute kidney injury risk and outcomes: workgroup statements from the 15(th) ADQI Consensus Conference

The data contained within the electronic health record (EHR) is “big” from the standpoint of volume, velocity, and variety. These circumstances and the pervasive trend towards EHR adoption have sparked interest in applying big data predictive analytic techniques to EHR data. Acute kidney injury (AKI...

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Vydáno v:Can J Kidney Health Dis
Hlavní autoři: Sutherland, Scott M., Chawla, Lakhmir S., Kane-Gill, Sandra L., Hsu, Raymond K., Kramer, Andrew A., Goldstein, Stuart L., Kellum, John A., Ronco, Claudio, Bagshaw, Sean M.
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2016
Témata:
Review
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4768420/
https://ncbi.nlm.nih.gov/pubmed/26925247
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40697-016-0099-4
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