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Predicting Length of Stay among Patients Discharged from the Emergency Department—Using an Accelerated Failure Time Model
BACKGROUND: Emergency department (ED) crowding continues to be an important health care issue in modern countries. Among the many crucial quality indicators for monitoring the throughput process, a patient’s length of stay (LOS) is considered the most important one since it is both the cause and the...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5249112/ https://ncbi.nlm.nih.gov/pubmed/28107348 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0165756 |
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