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Predicting Hospital Admission for Emergency Department Patients using a Bayesian Network
Hospital admission delays in the Emergency Department (ED) reduce volume capacity and contribute to the nation’s ED diversion problem. This study evaluated the accuracy of a Bayesian network for the early prediction of hospital admission status using data from 16,900 ED encounters. The final model i...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Medical Informatics Association
2005
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1560667/ https://ncbi.nlm.nih.gov/pubmed/16779309 |
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