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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Detalles Bibliográficos
Autores principales: Rink, Bryan, Roberts, Kirk, Harabagiu, Sanda, Scheuermann, Richard H., Toomay, Seth, Browning, Travis, Bosler, Teresa, Peshock, Ronald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 201
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845763/
https://www.ncbi.nlm.nih.gov/pubmed/24303268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845763/
https://www.ncbi.nlm.nih.gov/pubmed/24303268

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