Cardiac Arrest
What's New
Last Posted: Apr 02, 2024
- Machine learning prediction of refractory ventricular fibrillation in out-of-hospital cardiac arrest using features available to EMS.
Rayhan Erlangga Rahadian et al. Resusc Plus 2024 18100606 - Novel machine learning model to improve performance of an early warning system in hospitalized patients: a retrospective multisite cross-validation study.
Hojjat Salehinejad et al. EClinicalMedicine 2024 66102312 - Family history, socioeconomic factors, comorbidities, health behaviors, and the risk of sudden cardiac arrest.
Eujene Jung et al. Sci Rep 2023 13(1) 21341 - Prediction model of in-hospital mortality in intensive care unit patients with cardiac arrest: a retrospective analysis of MIMIC -IV database based on machine learning.
Yiwu Sun et al. BMC Anesthesiol 2023 23(1) 178 - Rare Genetic Variants Associated With Sudden Cardiac Arrest in the Young: A Prospective, Population-Based Study.
Lauri Holmstrom et al. Circ Genom Precis Med 2023 5 e004105 - Management of Inherited Arrhythmia Syndromes: A HiRO Consensus Handbook on Process of Care.
Mikyla L Janzen et al. CJC Open 2023 5(4) 268-284 - Predicting Cardiac Arrest in Children with Heart Disease: A Novel Machine Learning Algorithm.
Priscilla Yu et al. J Clin Med 2023 12(7) - Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studies.
Maarten Z H Kolk et al. EBioMedicine 2023 89104462 - Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning: the SCARS model.
Fredrik Hessulf et al. EBioMedicine 2023 89104464 - Phenotypes of Overdiagnosed Long QT Syndrome.
Sahej Bains et al. Journal of the American College of Cardiology 2023 81(5) 477-486
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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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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:May 07, 2024
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