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Analyzing Medical Research Results Based on Synthetic Data and Their Relation to Real Data Results: Systematic Comparison From Five Observational Studies.

Anat Reiner BenaimRonit AlmogYuri GorelikIrit HochbergLaila NassarTanya MashiachMogher KhamaisiYael LurieZaher S AzzamJohad KhouryDaniel KurnikRafael Beyar
Published in: JMIR medical informatics (2020)
The use of synthetic structured data provides a close estimate to real data results and is thus a powerful tool in shaping research hypotheses and accessing estimated analyses, without risking patient privacy. Synthetic data enable broad access to data (eg, for out-of-organization researchers), and rapid, safe, and repeatable analysis of data in hospitals or other health organizations where patient privacy is a primary value.
Keyphrases
  • big data
  • electronic health record
  • healthcare
  • mental health
  • machine learning
  • health information
  • risk assessment
  • climate change
  • social media
  • human health
  • sensitive detection