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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korean Society of Medical Informatics
2022
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| Materias: | |
| 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 |