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Controlling testing volume for respiratory viruses using machine learning and text mining
Viral testing for pediatric inpatients with respiratory symptoms is common, with considerable associated charges. In an attempt to reduce testing volumes, we studied whether data available at the time of admission could aid in identifying children with low likelihood of having a particular viral ori...
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| Publicado no: | AMIA Annu Symp Proc |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5333257/ https://ncbi.nlm.nih.gov/pubmed/28269950 |
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