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Measuring re-identification risk using a synthetic estimator to enable data sharing.

Yangdi JiangLucy MosqueraBei JiangLinglong KongKhaled El Emam
Published in: PloS one (2022)
The average of two copula estimators consistently provides the most accurate re-identification risk estimate and can serve as a good basis for managing privacy risks when data are de-identified and shared.
Keyphrases
  • big data
  • electronic health record
  • health information
  • social media
  • healthcare
  • high resolution
  • bioinformatics analysis
  • mass spectrometry
  • deep learning