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A study of deep learning methods for de-identification of clinical notes in cross-institute settings
BACKGROUND: De-identification is a critical technology to facilitate the use of unstructured clinical text while protecting patient privacy and confidentiality. The clinical natural language processing (NLP) community has invested great efforts in developing methods and corpora for de-identification...
Autores principales: | Yang, Xi, Lyu, Tianchen, Li, Qian, Lee, Chih-Yin, Bian, Jiang, Hogan, William R., Wu, Yonghui |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894104/ https://www.ncbi.nlm.nih.gov/pubmed/31801524 http://dx.doi.org/10.1186/s12911-019-0935-4 |
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