Machine Learning Analyses Reveal Circadian Features Predictive of Risk for Sleep Disturbance

Machine Learning Analyses Reveal Circadian Features Predictive of Risk for Sleep Disturbance

Rebeccah Overton,1 Aziz Zafar,1,2 Ziad Attia,1,3 Ahmet Ay,1,2 Krista K Ingram1 1Department of Biology, Colgate University, Hamilton, NY, USA; 2Department of Mathematics, Colgate University, Hamilton, NY, USA; 3Department of Computer Science, Colgate University, Hamilton, NY, USACorrespondence: Krist...

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Bibliographic Details
Main Authors: Overton R, Zafar A, Attia Z, Ay A, Ingram KK
Format: Article
Language:English
Published: Dove Medical Press 2022-10-01
Series:Nature and Science of Sleep
Subjects:
circadian clock
chronotype
sleep disturbance
sleep quality
machine learning
circadian misalignment
Online Access:https://www.dovepress.com/machine-learning-analyses-reveal-circadian-features-predictive-of-risk-peer-reviewed-fulltext-article-NSS

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