Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT)

BACKGROUND: Given the increasing number of people suffering from tinnitus, the accurate categorization of patients with actionable reports is attractive in assisting clinical decision making. However, this process requires experienced physicians and significant human labor. Natural language processi...

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Detalles Bibliográficos
Autores principales: Li, Jia, Lin, Yucong, Zhao, Pengfei, Liu, Wenjuan, Cai, Linkun, Sun, Jing, Zhao, Lei, Yang, Zhenghan, Song, Hong, Lv, Han, Wang, Zhenchang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338483/
https://www.ncbi.nlm.nih.gov/pubmed/35907966
http://dx.doi.org/10.1186/s12911-022-01946-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338483/
https://www.ncbi.nlm.nih.gov/pubmed/35907966
http://dx.doi.org/10.1186/s12911-022-01946-y

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