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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書目詳細資料
發表在:Can J Kidney Health Dis
Main Authors: 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.
格式: Artigo
語言:Inglês
出版: BioMed Central 2016
主題:
Review
在線閱讀: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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