A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora

BACKGROUND: Clinical trial protocols are the foundation for advancing medical sciences, however, the extraction of accurate and meaningful information from the original clinical trials is very challenging due to the complex and unstructured texts of such documents. Named entity recognition (NER) is...

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Detalles Bibliográficos
Autores principales: Li, Jianfu, Wei, Qiang, Ghiasvand, Omid, Chen, Miao, Lobanov, Victor, Weng, Chunhua, Xu, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450226/
https://www.ncbi.nlm.nih.gov/pubmed/36068551
http://dx.doi.org/10.1186/s12911-022-01967-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450226/
https://www.ncbi.nlm.nih.gov/pubmed/36068551
http://dx.doi.org/10.1186/s12911-022-01967-7

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