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Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data
IMPORTANCE: Accurate prediction of outcomes among patients in intensive care units (ICUs) is important for clinical research and monitoring care quality. Most existing prediction models do not take full advantage of the electronic health record, using only the single worst value of laboratory tests...
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| Publicado en: | JAMA Netw Open |
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| Autores principales: | , , , , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
American Medical Association
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6324323/ https://ncbi.nlm.nih.gov/pubmed/30646310 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2018.5097 |
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