Sleep Disorder
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Last Posted: May 07, 2024
- 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 - 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) - Machine learning-based predictive modeling of depression in hypertensive populations.
Lee Chiyoung et al. PloS one 2022 17(7) e0272330 - Questionnaire-based exposome-wide association studies (ExWAS) reveal expected and novel risk factors associated with cardiovascular outcomes in the Personalized Environment and Genes Study.
Lee Eunice Y et al. Environmental research 2022 113463 - Novel insights into the consequences of obesity: a phenotype-wide Mendelian randomization study
C He et al, EJHG January 1, 2022 - RobustSleepNet: Transfer learning for automated sleep staging at scale.
Guillot Antoine et al. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 2021 PP - Gene therapy for aromatic L-amino acid decarboxylase deficiency by MR-guided direct delivery of AAV2-AADC to midbrain dopaminergic neurons
TS Pearson et al, Nat Comms, July 12, 2021 - Network physiology in insomnia patients: Assessment of relevant changes in network topology with interpretable machine learning models.
Jansen Christoph et al. Chaos (Woodbury, N.Y.) 2019 Dec 29(12) 123129 - CLINGEN Actionability Report for Mucopolysaccharidosis type I-IDUA
ClinGen Actionability Working Group
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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
- Page last updated:Jun 15, 2024
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