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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no: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.
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2016
Assuntos:
Review
Acesso em linha: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
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados