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[Synthetic data in medicine: Generation, evaluation and limits].

Alaedine BenaniJulien VibertStanislas Demuth
Published in: Medecine sciences : M/S (2024)
Recent technological advances in data science hold great promise in medicine. Large-sized high-quality datasets are essential but often difficult to obtain due to privacy, cost, and practical challenges. Here, we discuss synthetic data's generation, evaluation, and regulation, highlighting its current applications and limits.
Keyphrases
  • big data
  • electronic health record
  • public health
  • machine learning
  • artificial intelligence
  • healthcare
  • rna seq