Automated Classification of Free-Text Radiology Reports: Using Different Feature Extraction Methods to Identify Fractures of the Distal Fibula

Purpose  Radiology reports mostly contain free-text, which makes it challenging to obtain structured data. Natural language processing (NLP) techniques transform free-text reports into machine-readable document vectors that are important for creating reliable, scalable methods for data analysis. The...

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Detalles Bibliográficos
Autores principales: Dewald, Cornelia L.A., Balandis, Alina, Becker, Lena S., Hinrichs, Jan B., von Falck, Christian, Wacker, Frank K., Laser, Hans, Gerbel, Svetlana, Winther, Hinrich B., Apfel-Starke, Johanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368466/
https://www.ncbi.nlm.nih.gov/pubmed/37160146
http://dx.doi.org/10.1055/a-2061-6562

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368466/
https://www.ncbi.nlm.nih.gov/pubmed/37160146
http://dx.doi.org/10.1055/a-2061-6562

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