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...

Full description

Bibliographic Details

Published in:	Frontiers in Public Health
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
Subjects:	shift worker sleep insomnia machine learning risk prediction
Online Access:	https://www.frontiersin.org/articles/10.3389/fpubh.2025.1494583/full