Exploring predictors of insomnia severity in shift workers using machine learning model

Exploring predictors of insomnia severity in shift workers using machine learning model

IntroductionInsomnia in shift workers has distinctive features due to circadian rhythm disruption caused by reversed or unstable sleep-wake cycle work schedules. While previous studies have primarily focused on a limited number of predictors for insomnia severity in shift workers, there is a need to...

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Bibliographic Details
Main Authors: Hyewon Yeo, Hyeyeon Jang, Nambeom Kim, Sehyun Jeon, Yunjee Hwang, Chang-Ki Kang, Seog Ju Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Public Health
Subjects:
shift worker
sleep
insomnia
machine learning
risk prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1494583/full
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