Sleep Apnea
What's New
Last Posted: Jun 25, 2024
- 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 - 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 - U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging.
Elisabeth R M Heremans et al. Comput Biol Med 2024 171108205 - Risk-prediction model for incident hypertension in patients with obstructive sleep apnea based on SpO2 signals.
Jingyuan You et al. Annu Int Conf IEEE Eng Med Biol Soc 2023 20231-4 - Belun Ring (Belun Sleep System BLS-100): Deep learning-facilitated wearable enables obstructive sleep apnea detection, apnea severity categorization, and sleep stage classification in patients suspected of obstructive sleep apnea.
Zachary Strumpf et al. Sleep Health 2023 - Positional sleep apnea phenotyping using machine learning and digital oximetry biomarkers.
Yuval Ben Sason et al. Physiol Meas - Application of artificial intelligence in the diagnosis of sleep apnea.
George Bazoukis et al. Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine 2023 - Design and Conceptual Proposal of an Intelligent Clinical Decision Support System for the Diagnosis of Suspicious Obstructive Sleep Apnea Patients from Health Profile.
Manuel Casal-Guisande et al. International journal of environmental research and public health 2023 20(4) - Research Progress of Respiratory Disease and Idiopathic Pulmonary Fibrosis Based on Artificial Intelligence.
Gerui Zhang et al. Diagnostics (Basel, Switzerland) 2023 13(3)
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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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