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Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring.

Luigi FiorilloDavide PedroncelliValentina AgostiniPaolo FavaroFrancesca Dalia Faraci
Published in: Sleep (2023)
Our approach definitely enables a model to better adapt to the consensus of the group of scorers. Future work will focus on further investigations on different scoring architectures and hopefully large-scale-heterogeneous multi-scored datasets.
Keyphrases
  • sleep quality
  • physical activity
  • machine learning
  • high throughput
  • clinical practice
  • big data
  • rna seq
  • artificial intelligence