Confidence-Based Framework Using Deep Learning for Automated Sleep Stage Scoring.

Jung Kyung Hong Taeyoung Lee Roben Deocampo Delos Reyes Joonki Hong Hai Hong Tran Dongheon Lee Jinhwan Jung Young-In Yoon

Published in: Nature and science of sleep (2021)

To the best of our knowledge, this is the first study applying confidence estimation on automated sleep stage scoring. Reliable confidence estimates by the DCR method help screen out most of the wrong predictions, which would increase the reliability and interpretability of automated sleep stage scoring.

Keyphrases

deep learning
high throughput
machine learning
sleep quality
physical activity
artificial intelligence
convolutional neural network
healthcare