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Mortality prediction in the ICU: can we do better? Results from the Super ICU Learner Algorithm (SICULA) project, a population-based study
BACKGROUND: Improved mortality prediction for patients in intensive care units (ICU) remains an important challenge. Many severity scores have been proposed but validation studies have concluded that they are not adequately calibrated. Many flexible algorithms are available, yet none of these indivi...
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| Publicado no: | Lancet Respir Med |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4321691/ https://ncbi.nlm.nih.gov/pubmed/25466337 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/S2213-2600(14)70239-5 |
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