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Web-Based Privacy-Preserving Multicenter Medical Data Analysis Tools Via Threshold Homomorphic Encryption: Design and Development Study.

Yao LuTianshu ZhouYu TianShiqiang ZhuJing-Song Li
Published in: Journal of medical Internet research (2020)
We present the first privacy-preserving multiparty logistic regression model training and evaluation protocol based on threshold homomorphic encryption. Our protocol is practical for real-world use and may promote multicenter medical research to some extent.
Keyphrases
  • data analysis
  • healthcare
  • randomized controlled trial
  • health information
  • big data
  • cross sectional
  • double blind
  • machine learning
  • social media
  • virtual reality
  • clinical evaluation