Multivariate ensemble classification for the prediction of symptoms in patients with Brugada syndrome
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11517-021-02448-1.pdf
Reference31 articles.
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3. Calvo M, Romero D, Le Rolle V, Béhar N, Gomis P, Mabo P, Hernández AI (2018) Multivariate classification of Brugada syndrome patients based on autonomic response to exercise testing. PLos ONE 13(5). https://doi.org/10.1371/journal.pone.0197367
4. Cole CR, Blackstone EH, Pashkow FJ, Snader CE, Lauer MS (1999) Heart-rate recovery immediately after exercise as a predictor of mortality. N Engl J Med 341(18):1351–1357. https://doi.org/10.1056/NEJM199910283411804
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1. Artificial intelligence streamlines diagnosis and assessment of prognosis in Brugada syndrome: a systematic review and meta-analysis;Connected Health And Telemedicine;2024-06-11
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