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Privacy-Preserving Anonymity for Periodical Releases of Spontaneous Adverse Drug Event Reporting Data: Algorithm Development and Validation.

Jie-Teng WangWen-Yang Lin
Published in: JMIR medical informatics (2021)
The proposed PPMS(k, θ*)-bounding model and PPMS-Anonymization algorithm are effective in anonymizing SRS data sets in the periodical data publishing scenario, preventing the series of releases from disclosing personal sensitive information caused by BFL-attacks while maintaining the data utility for ADR signal detection.
Keyphrases
  • adverse drug
  • electronic health record
  • big data
  • machine learning
  • deep learning
  • emergency department
  • healthcare
  • neural network
  • quantum dots