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Extracting Actionable Findings of Appendicitis from Radiology Reports Using Natural Language Processing
Radiology reports often contain findings about the condition of a patient which should be acted upon quickly. These actionable findings in a radiology report can be automatically detected to ensure that the referring physician is notified about such findings and to provide feedback to the radiologis...
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| Hauptverfasser: | , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Medical Informatics Association
201
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3845763/ https://ncbi.nlm.nih.gov/pubmed/24303268 |
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