Protected Health Information Recognition by Fine-Tuning a Pre-training Transformer Model

OBJECTIVES: De-identifying protected health information (PHI) in medical documents is important, and a prerequisite to de-identification is the identification of PHI entity names in clinical documents. This study aimed to compare the performance of three pre-training models that have recently attrac...

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Detalles Bibliográficos
Autores principales: Oh, Seo Hyun, Kang, Min, Lee, Youngho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850174/
https://www.ncbi.nlm.nih.gov/pubmed/35172087
http://dx.doi.org/10.4258/hir.2022.28.1.16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850174/
https://www.ncbi.nlm.nih.gov/pubmed/35172087
http://dx.doi.org/10.4258/hir.2022.28.1.16

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