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

Yangdi JiangLucy MosqueraBei JiangLinglong Kong Khaled 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