Cargando…
A privacy-preserving distributed filtering framework for NLP artifacts
BACKGROUND: Medical data sharing is a big challenge in biomedicine, which often hinders collaborative research. Due to privacy concerns, clinical notes cannot be directly shared. A lot of efforts have been dedicated to de-identifying clinical notes but it is still very challenging to accurately loca...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6731605/ https://www.ncbi.nlm.nih.gov/pubmed/31493797 http://dx.doi.org/10.1186/s12911-019-0867-z |