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Geospatial Imprecision With Constraints for Precision Public Health: Algorithm Development and Validation.

Daniel R HarrisChris Delcher
Published in: Online journal of public health informatics (2024)
Privacy concerns require patient locations to be imprecise to protect against risk of identification; precision public health requires accuracy. We propose a modified obfuscation technique that is constrained to generate a new point within a specified census-designated region to preserve both privacy and analytical accuracy by avoiding demographic shifts.
Keyphrases
  • public health
  • big data
  • health information
  • machine learning
  • global health
  • case report
  • deep learning
  • artificial intelligence
  • liquid chromatography
  • mass spectrometry
  • neural network