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Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization
Accurately predicting the trend of outpatient visits by mathematical modeling can help policy makers manage hospitals effectively, reasonably organize schedules for human resources and finances, and appropriately distribute hospital material resources. In this study, a hybrid method based on empiric...
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| Publié dans: | PLoS One |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5319685/ https://ncbi.nlm.nih.gov/pubmed/28222194 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0172539 |
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