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...

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Detalles Bibliográficos
Autores principales: Sadat, Md Nazmus, Aziz, Md Momin Al, Mohammed, Noman, Pakhomov, Serguei, Liu, Hongfang, Jiang, Xiaoqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Software
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

Internet

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

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