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Predicting Hospital Admission in a Pediatric Emergency Department using an Artificial Neural Network
Hospital admission delays in the Emergency Department (ED) reduce capacity and contribute to the ED’s diversion problem. We evaluated the accuracy of an Artificial Neural Network for the early prediction of hospital admission using data from 43,077 pediatric ED encounters. We used 9 variables common...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2006
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1839665/ https://ncbi.nlm.nih.gov/pubmed/17238623 |
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