Sleep Disorders
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Last Posted: Jul 18, 2024
- Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts.
Zang Chengxi, et al. Communications medicine 2024 0 0. (1) 130 - OSApredictor: A tool for prediction of moderate to severe obstructive sleep apnea-hypopnea using readily available patient characteristics.
Amlan Talukder et al. Comput Biol Med 2024 178108777 - A robust deep learning system for screening of obstructive sleep apnea using T-F spectrum of ECG signals.
Kapil Gupta et al. Comput Methods Biomech Biomed Engin 2024 1-13 - Sleep assessment using EEG-based wearables - A systematic review.
C J de Gans et al. Sleep Med Rev 2024 76101951 - A Machine Learning Prediction Model of Adult Obstructive Sleep Apnea Based on Systematically Evaluated Common Clinical Biochemical Indicators.
Jiewei Huang et al. Nat Sci Sleep 2024 16413-428 - Major Depressive Disorder Prediction Based on Sleep-Wake Disorders Symptoms in US Adolescents: A Machine Learning Approach from National Sleep Research Resource.
Jingsong Luo et al. Psychol Res Behav Manag 2024 17691-703 - U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging.
Elisabeth R M Heremans et al. Comput Biol Med 2024 171108205 - Genetic Analysis of Obstructive Sleep Apnea and Its Relationship with Severe COVID-19.
Strausz Satu, et al. Annals of the American Thoracic Society 2024 0 0. - Research and application of deep learning-based sleep staging: Data, modeling, validation, and clinical practice.
Huijun Yue et al. Sleep Med Rev 2024 74101897 - Analysis of Changes in Sleep Quality and Patterns after Hip Fracture Using Real Evidence of Artificial Intelligence Linked (REAL) Hip Cohort Data.
Yonghan Cha et al. Medicina (Kaunas) 2023 59(12)
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About HLBS-PopOmics
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
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Site Citation:
Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
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