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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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| 出版年: | J Am Med Inform Assoc |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2015
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| 主題: | |
| オンライン･アクセス: | 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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