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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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Bibliographic Details
Published in:J Am Med Inform Assoc
Main Authors: Fiszman, Marcelo, Chapman, Wendy W., Aronsky, Dominik, Evans, R. Scott, Haug, Peter J.
Format: Artigo
Language:Inglês
Published: Oxford University Press 2000
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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