Ventricular Assist Device
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Last Posted: Feb 13, 2024
- Characterizing Advanced Heart Failure Risk and HemodyNAmic Phenotypes using Interpretable Machine Learning.
Josephine Lamp et al. Am Heart J 2024 - Rare Variant Genetics and Dilated Cardiomyopathy Severity: The DCM Precision Medicine Study.
Mark Hofmeyer et al. Circulation 2023 - Artificial intelligence guidance of advanced heart failure therapies: A systematic scoping review.
Mohammad A Al-Ani et al. Frontiers in cardiovascular medicine 2023 101127716 - Augmented Intelligence to Identify Patients With Advanced Heart Failure in an Integrated Health System.
Cheema Baljash et al. JACC advances 2023 1(4) - Electrocardiogram-based deep learning improves outcome prediction following cardiac resynchronization therapy.
Wouters Philippe C et al. European heart journal 2022 - Machine learning versus conventional clinical methods in guiding management of heart failure patients-a systematic review.
Bazoukis George et al. Heart failure reviews 2020 Jul - Association of Race With Disease Expression and Clinical Outcomes Among Patients With Hypertrophic Cardiomyopathy.
Eberly Lauren A, et al. JAMA cardiology 2019 12 0. - Genetic Risk of Arrhythmic Phenotypes in Patients With Dilated Cardiomyopathy.
Gigli Marta, et al. Journal of the American College of Cardiology 2019 9 0. (11) 1480-1490 - Dilated Cardiomyopathy - From Epidemiologic to Genetic Phenotypes A Translational Review of Current Literature.
Reichart Daniel et al. Journal of internal medicine 2019 May - Requirements for a Telemedicine Center to Monitor LVAD Patients.
Reiss Nils et al. Studies in health technology and informatics 2019 260146-153
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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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