Incorporating Latent Variables Using Nonnegative Matrix Factorization Improves Risk Stratification in Brugada Syndrome

BACKGROUND: A combination of clinical and electrocardiographic risk factors is used for risk stratification in Brugada syndrome. In this study, we tested the hypothesis that the incorporation of latent variables between variables using nonnegative matrix factorization can improve risk stratification...

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Detalhes bibliográficos
Publicado no:J Am Heart Assoc
Main Authors: Tse, Gary, Zhou, Jiandong, Lee, Sharen, Liu, Tong, Bazoukis, George, Mililis, Panagiotis, Wong, Ian C. K., Chen, Cheng, Xia, Yunlong, Kamakura, Tsukasa, Aiba, Takeshi, Kusano, Kengo, Zhang, Qingpeng, Letsas, Konstantinos P.
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2020
Assuntos:
Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7763720/
https://ncbi.nlm.nih.gov/pubmed/33170070
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/JAHA.119.012714
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