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Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis

Background As adoption of electronic health records continues to increase, there is an opportunity to incorporate clinical documentation as well as laboratory values and demographics into risk prediction modeling. Objective The authors develop a risk prediction model for chronic kidney disease (CKD)...

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Dettagli Bibliografici
Pubblicato in:J Am Med Inform Assoc
Autori principali: Perotte, Adler, Ranganath, Rajesh, Hirsch, Jamie S, Blei, David, Elhadad, Noémie
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2015
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4482276/
https://ncbi.nlm.nih.gov/pubmed/25896647
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocv024
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