Large-scale evaluation of automated clinical note de-identification and its impact on information extraction

OBJECTIVE: (1) To evaluate a state-of-the-art natural language processing (NLP)-based approach to automatically de-identify a large set of diverse clinical notes. (2) To measure the impact of de-identification on the performance of information extraction algorithms on the de-identified documents. MA...

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Detalles Bibliográficos
Autores principales: Deleger, Louise, Molnar, Katalin, Savova, Guergana, Xia, Fei, Lingren, Todd, Li, Qi, Marsolo, Keith, Jegga, Anil, Kaiser, Megan, Stoutenborough, Laura, Solti, Imre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2013
Materias:
Focus on Patient Privacy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3555323/
https://www.ncbi.nlm.nih.gov/pubmed/22859645
http://dx.doi.org/10.1136/amiajnl-2012-001012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3555323/
https://www.ncbi.nlm.nih.gov/pubmed/22859645
http://dx.doi.org/10.1136/amiajnl-2012-001012

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