Automatic Detection of Acute Bacterial Pneumonia from Chest X-ray Reports
Objective: To evaluate the performance of a natural language processing system in extracting pneumonia-related concepts from chest x-ray reports. Methods: Design: Four physicians, three lay persons, a natural language processing system, and two keyword searches (designated AAKS and KS) detected the...
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| Published in: | J Am Med Inform Assoc |
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| Main Authors: | , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Oxford University Press
2000
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC129668/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/11062233/ https://ncbi.nlm.nih.govhttps://doi.org/10.1136/jamia.2000.0070593 |
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