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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763720/
https://www.ncbi.nlm.nih.gov/pubmed/33170070
http://dx.doi.org/10.1161/JAHA.119.012714

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763720/
https://www.ncbi.nlm.nih.gov/pubmed/33170070
http://dx.doi.org/10.1161/JAHA.119.012714

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