Automated Tuberculosis Detection
Objective: To measure the accuracy of automated tuberculosis case detection. Setting: An inner-city medical center. Intervention: An electronic medical record and a clinical event monitor with a natural language processor were used to detect tuberculosis cases according to Centers for Disease Contro...
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| Publicado no: | J Am Med Inform Assoc |
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| Principais autores: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
1997
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC61255/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/9292843/ https://ncbi.nlm.nih.govhttps://doi.org/10.1136/jamia.1997.0040376 |
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