Building a best-in-class automated de-identification tool for electronic health records through ensemble learning

The presence of personally identifiable information (PII) in natural language portions of electronic health records (EHRs) constrains their broad reuse. Despite continuous improvements in automated detection of PII, residual identifiers require manual validation and correction. Here, we describe an...

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Detalles Bibliográficos
Autores principales: Murugadoss, Karthik, Rajasekharan, Ajit, Malin, Bradley, Agarwal, Vineet, Bade, Sairam, Anderson, Jeff R., Ross, Jason L., Faubion, William A., Halamka, John D., Soundararajan, Venky, Ardhanari, Sankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212138/
https://www.ncbi.nlm.nih.gov/pubmed/34179842
http://dx.doi.org/10.1016/j.patter.2021.100255

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212138/
https://www.ncbi.nlm.nih.gov/pubmed/34179842
http://dx.doi.org/10.1016/j.patter.2021.100255

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