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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...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| 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 |