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Privacy-Preserving Methods for Feature Engineering Using Blockchain: Review, Evaluation, and Proof of Concept.

Michael JonesMatthew JohnsonMark SherveyJoel T DudleyNoah Zimmerman
Published in: Journal of medical Internet research (2019)
Blockchain technology and smart contracts enable the development of new privacy-preserving feature engineering methods by obviating dependence on trusted parties and providing immutable, auditable data processing workflows. The overlap between blockchain and cryptographic techniques or blockchain and secure hardware technologies are promising fields for addressing important data privacy needs. Hybrid blockchain and TEE frameworks currently provide practical tools for implementing experimental privacy-preserving applications.
Keyphrases
  • big data
  • machine learning
  • health information
  • artificial intelligence
  • deep learning
  • electronic health record
  • social media
  • healthcare
  • quality improvement
  • clinical evaluation