Using word embeddings to improve the privacy of clinical notes.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Jun 1, 2020

Abstract

OBJECTIVE: In this work, we introduce a privacy technique for anonymizing clinical notes that guarantees all private health information is secured (including sensitive data, such as family history, that are not adequately covered by current techniques).

Authors

  • Mohamed Abdalla
    ICES, Toronto, Canada.
  • Moustafa Abdalla
    Computational Statistics & Machine Learning Group, Department of Statistics, University of Oxford, Oxford, UK.
  • Frank Rudzicz
    University of Toronto, Toronto, Canada.
  • Graeme Hirst
    Department of Computer Science, University of Toronto, Toronto, Canada.

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