Machine learning-based model to predict composite thromboembolic events among Chinese elderly patients with atrial fibrillation
Author:
Funder
The Project of Chinese Military Health Care
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1186/s12872-024-04082-9.pdf
Reference33 articles.
1. Noubiap JJ, Tang JJ, Dewland TA, Marcus GM. Contemporary trends in incident ischemic stroke, intracranial hemorrhage, and mortality in individuals with atrial fibrillation. Eur Heart J Qual Care Clin Outcomes Published Online April. 2024;9. https://doi.org/10.1093/ehjqcco/qcae022.
2. Bucci T, Romiti GF, Shantsila A, et al. Risk of Death and Cardiovascular events in Asian patients with Atrial Fibrillation and Chronic Obstructive Pulmonary Disease: a Report from the prospective APHRS Registry. J Am Heart Assoc. 2024;13(7):e032785. https://doi.org/10.1161/JAHA.123.032785.
3. Paludan-Müller C, Vad OB, Stampe NK, et al. Atrial fibrillation: age at diagnosis, incident cardiovascular events, and mortality. Eur Heart J Published Online April. 2024;9. https://doi.org/10.1093/eurheartj/ehae216.
4. Liu D, Shi S, Liu X, et al. Retrospective cohort study of new-onset atrial fibrillation in acute pulmonary embolism on prognosis. BMJ Open. 2021;11(9):e047658. https://doi.org/10.1136/bmjopen-2020-047658. Published 2021 Sep 22.
5. Relander A, Jaakkola S, Virri H, et al. Fibrillatory wave amplitude and thromboembolic risk in non-anticoagulated patients with atrial fibrillation. Ann Med. 2024;56(1):2317362. https://doi.org/10.1080/07853890.2024.2317362.
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