Developing a RadLex-Based Named Entity Recognition Tool for Mining Textual Radiology Reports: Development and Performance Evaluation Study

BACKGROUND: Named entity recognition (NER) plays an important role in extracting the features of descriptions such as the name and location of a disease for mining free-text radiology reports. However, the performance of existing NER tools is limited because the number of entities that can be extrac...

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Detalles Bibliográficos
Autores principales: Tsuji, Shintaro, Wen, Andrew, Takahashi, Naoki, Zhang, Hongjian, Ogasawara, Katsuhiko, Jiang, Gouqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590187/
https://www.ncbi.nlm.nih.gov/pubmed/34714247
http://dx.doi.org/10.2196/25378

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590187/
https://www.ncbi.nlm.nih.gov/pubmed/34714247
http://dx.doi.org/10.2196/25378

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