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Measuring the impact of spatial perturbations on the relationship between data privacy and validity of descriptive statistics.

Kelly BroenRob TrangucciJon Zelner
Published in: International journal of health geographics (2021)
Using the set of published perturbation methods applied in this analysis, HIPAA and GDPR compliant de-identification was not compatible with maintaining key spatial patterns as measured by our chosen summary statistics. Further research should investigate alternate methods to balancing tradeoffs between spatial data privacy and preservation of key patterns in public health data that are of scientific and medical importance.
Keyphrases
  • big data
  • public health
  • electronic health record
  • healthcare
  • machine learning
  • randomized controlled trial