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An Electroencephalography-Based Sleep Index and Supervised Machine Learning As a Suitable Tool for Automated Sleep Classification in Children.

Eris van Twist,Floor W. Hiemstra,Arnout B. G. Cramer,Sascha C. A. T. Verbruggen,David M. J. Tax,Koen Joosten, Maartje Louter, Dirk C. G. Straver,Matthijs de Hoog,Jan Willem Kuiper,Rogier C. J. de Jonge

JOURNAL OF CLINICAL SLEEP MEDICINE（2024）

Cited 0|Views18
Key words
machine learning,sleep stage,sleep classification,pediatric intensive care unit,polysomnography
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