Association between major depressive disorder and sleep disturbances through inflammation in adolescents

A Reddy, M Thootkur, L Li - Frontiers in Psychiatry, 2020 - frontiersin.org
Background Although approximately 13% of adolescents suffer from Major Depressive
Disorder (MDD), and many adolescents have reported sleep disturbances, the relationship …

Predictive power of XGBoost_BiLSTM model: a machine-learning approach for accurate sleep apnea detection using electronic health data

A Javeed, JS Berglund, AL Dallora, MA Saleem… - International Journal of …, 2023 - Springer
Sleep apnea is a common disorder that can cause pauses in breathing and can last from a
few seconds to several minutes, as well as shallow breathing or complete cessation of …

Depressive symptoms are associated with short and long sleep duration: A longitudinal study of Chinese adolescents

BP Liu, XT Wang, ZZ Liu, ZY Wang, D An… - Journal of Affective …, 2020 - Elsevier
Aims Sleep loss and irregular sleep patterns in adolescents are major public health
concerns in the modern society. This study aimed to explore the associations between short …

Deep learning approaches for sleep disorder prediction in an asthma cohort

DV Phan, NP Yang, CY Kuo, CL Chan - Journal of Asthma, 2021 - Taylor & Francis
Objective Sleep is a natural activity of humans that affects physical and mental health;
therefore, sleep disturbance may lead to fatigue and lower productivity. This study examined …

[HTML][HTML] Predicting the Risk of Sleep Disorders Using a Machine Learning–Based Simple Questionnaire: Development and Validation Study

S Ha, SJ Choi, S Lee, RH Wijaya, JH Kim… - Journal of medical …, 2023 - jmir.org
Background Sleep disorders, such as obstructive sleep apnea (OSA), comorbid insomnia
and sleep apnea (COMISA), and insomnia are common and can have serious health …

Associations between sleep complaints, suicidal ideation and depressive symptoms among adolescents and young adults in Greece

M Basta, E Skourti, P Simos, E Soumaki… - Journal of sleep …, 2023 - Wiley Online Library
Depression prevalence increases significantly during adolescence/early adulthood.
Depression in youth may present suicidal ideation, while suicide represents the leading …

Sleep disturbance-related neuroimaging features as potential biomarkers for the diagnosis of major depressive disorder: a multicenter study based on machine …

Y Shi, L Zhang, C He, Y Yin, R Song, S Chen… - Journal of affective …, 2021 - Elsevier
Background Objective biomarkers are crucial for overcoming the clinical dilemma in major
depressive disorder (MDD), and the individualized diagnosis is essential to facilitate the …

Polysomnographic identification of anxiety and depression using deep learning

TP Thakre, H Kulkarni, KS Adams, R Mischel… - Journal of psychiatric …, 2022 - Elsevier
Anxiety and depression are common psychiatric conditions associated with significant
morbidity and healthcare costs. Sleep is an evolutionarily conserved health state. Anxiety …

Prediction and Classification of Psychiatric Disorders in Relation to Sleep Disturbances

K Banerjee, T Jayant, KG Harsha… - 2024 2nd …, 2024 - ieeexplore.ieee.org
Prediction models try to use available data to forecast a health condition or outcome that has
not yet been observed. Prediction is most useful in clinical practice, but it is also employed in …

How are poor sleepers with other clinical conditions affected by maladaptive personality traits? A neural network-based analysis

H Khazaie, F Rezaei, A Zakiei, B Faridmarandi… - Frontiers in …, 2024 - frontiersin.org
Background Psychopathology research mainly focused on the cross-sectional and
longitudinal associations between personality and psychiatric disorders without considering …