[HTML][HTML] Subjective and objective sleep and circadian parameters as predictors of depression-related outcomes: A machine learning approach in UK Biobank
Background Sleep and circadian disruption are associated with depression onset and
severity, but it is unclear which features (eg, sleep duration, chronotype) are important and …
severity, but it is unclear which features (eg, sleep duration, chronotype) are important and …
Interaction between sleep duration and trouble sleeping on depressive symptoms among US adults, NHANES 2015-2018
S Wang, ME Rossheim, RR Nandy… - Journal of Affective …, 2024 - Elsevier
Background This study aims to examine the associations and interaction effects of sleep
duration and trouble sleeping on depressive symptoms among US adults. Methods National …
duration and trouble sleeping on depressive symptoms among US adults. Methods National …
[HTML][HTML] Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models
Sleep disorder is a disease that can be categorized as both an emotional and physical
problem. It imposes several difficulties and problems, such as distress during the day, sleep …
problem. It imposes several difficulties and problems, such as distress during the day, sleep …
Exploring the relationship between sleep patterns and depression among Chinese middle school students: a focus on sleep quality vs. sleep duration
X Zhang, Z Dou, F Yang, L Luo, J Yang - Frontiers in Public Health, 2024 - frontiersin.org
Objective This study aims to explore the relationship between sleep patterns and depressive
symptoms among adolescents, examining variations in depressive symptoms across …
symptoms among adolescents, examining variations in depressive symptoms across …
[HTML][HTML] A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study
E Li, F Ai, C Liang - Frontiers in Public Health, 2024 - frontiersin.org
Objective Depression is very common and harmful in patients with obstructive sleep apnea
hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression …
hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression …
Why sleep matters for young people who may get depressed
GM Goodwin - Interface Focus, 2020 - royalsocietypublishing.org
Depression and anxiety are negative emotional states familiar to us all through personal
experience. Less familiar are severe states of depression, in particular, which can actually …
experience. Less familiar are severe states of depression, in particular, which can actually …
Disentangling the effects of depression on trajectories of sleep problems from adolescence through young adulthood
LY Chang, HY Chang, LN Lin, CC Wu… - Journal of Affective …, 2017 - Elsevier
Background Little is known about the differential influences of between-and within-person
effects of depression as well as its long-term impacts on sleep problems in adolescents. This …
effects of depression as well as its long-term impacts on sleep problems in adolescents. This …
EVALUATING MACHINE LEARNING MODELS FOR PREDICTING SLEEP DISORDERS IN A LIFESTYLE AND HEALTH DATA CONTEXT
G Airlangga - JIKO (Jurnal Informatika dan Komputer), 2024 - ejournal.unkhair.ac.id
Sleep disorders significantly impact public health, but their detection is often complicated by
the multifaceted nature of causative factors. This study investigates the efficacy of various …
the multifaceted nature of causative factors. This study investigates the efficacy of various …
Is moderate depression associated with sleep stage architecture in adolescence? Testing the stage type associations using network and transition probability …
M Elovainio, J Lipsanen, R Halonen, L Kuula… - Psychological …, 2021 - cambridge.org
BackgroundDepression even at the subclinical level is often accompanied by sleep
disturbances, but little is known about the dynamics of the sleep stages in relation to …
disturbances, but little is known about the dynamics of the sleep stages in relation to …
[HTML][HTML] Deep learning-based sleep stage classification with cardiorespiratory and body movement activities in individuals with suspected sleep disorders
S Morokuma, T Hayashi, M Kanegae, Y Mizukami… - Scientific reports, 2023 - nature.com
Deep learning methods have gained significant attention in sleep science. This study aimed
to assess the performance of a deep learning-based sleep stage classification model …
to assess the performance of a deep learning-based sleep stage classification model …