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The Challenges of Creating a Gold Standard for De-identification Research
Allen C Browne1, Mehmet Kayaalp1, Zeyno A Dodd1
1Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
Abstract:
We created a Gold Standard corpus comprised over 20,000 records of annotated narrative clinical reports for use in the training and evaluation of NLM Scrubber, a de-identification software system for medical records. Our experience with designing the corpus demonstrated the conceptual complexity of the task.
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