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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...
Autores principales: | Li, Jia, Lin, Yucong, Zhao, Pengfei, Liu, Wenjuan, Cai, Linkun, Sun, Jing, Zhao, Lei, Yang, Zhenghan, Song, Hong, Lv, Han, Wang, Zhenchang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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