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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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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2015
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| Assuntos: | |
| Acesso em linha: | 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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