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...

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Detalles Bibliográficos
Autores principales: Yang, Xi, Lyu, Tianchen, Li, Qian, Lee, Chih-Yin, Bian, Jiang, Hogan, William R., Wu, Yonghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
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

Internet

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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