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Insights from the 2nd China intelligent sleep staging competition.

Yamei LiZhifei XuZhiqiang ChenYuan ZhangBin Zhang
Published in: Sleep & breathing = Schlaf & Atmung (2024)
The computational speed of AI is remarkably fast, simultaneously holding the potential to surpass the accuracy of physicians. Improving the machine learning model's classification of the N1 stage and transitional periods between stages, along with bolstering its robustness to individual subject variations, is imperative for maximizing its ability in assisting clinical scoring.
Keyphrases
  • machine learning
  • artificial intelligence
  • deep learning
  • primary care
  • big data
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  • climate change