Corpus ID: 231986582

Performance of Automatic De-identification Across Different Note Types

@article{Dobbins2021PerformanceOA,
  title={Performance of Automatic De-identification Across Different Note Types},
  author={Nicholas J. Dobbins and David Wayne and Kahyun Lee and {\"O}zlem Uzuner and Meliha Yetisgen-Yildiz},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.11032}
}
Free-text clinical notes detail all aspects of patient care and have great potential to facilitate quality improvement and assurance initiatives as well as advance clinical research. However, concerns about patient privacy and confidentiality limit the use of clinical notes for research. As a result, the information documented in these notes remains unavailable for most researchers. De-identification (de-id), i.e., locating and removing personally identifying protected health information (PHI… Expand

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