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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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Bibliografski detalji
Glavni autori: Leegon, Jeffrey, Jones, Ian, Lanaghan, Kevin, Aronsky, Dominik
Format: Artigo
Jezik:Inglês
Izdano: American Medical Informatics Association 2005
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC1560667/
https://ncbi.nlm.nih.gov/pubmed/16779309
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