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The Challenges of Creating a Gold Standard for De-identification Research.
Browne, Allen C; Kayaalp, Mehmet; Dodd, Zeyno A; Sagan, Pamela; McDonald, Clement J.
Afiliação
  • Browne AC; Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
  • Kayaalp M; Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
  • Dodd ZA; Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
  • Sagan P; Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
  • McDonald CJ; Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
AMIA Annu Symp Proc ; 2014: 353-8, 2014.
Article em En | MEDLINE | ID: mdl-25954338
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Confidencialidade / Registros Eletrônicos de Saúde Idioma: En Ano de publicação: 2014 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Confidencialidade / Registros Eletrônicos de Saúde Idioma: En Ano de publicação: 2014 Tipo de documento: Article