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De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation.

Rudolf N CardinalMoore AMartin BurchellJonathan R Lewis
Published in: BMC medical informatics and decision making (2023)
Fully de-identified matching with high accuracy is feasible without a person-unique identifier and appropriate software is freely available.
Keyphrases
  • genome wide
  • health information
  • patient safety
  • data analysis
  • adverse drug
  • healthcare
  • machine learning
  • deep learning
  • social media
  • gene expression