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

Tse, G; Zhou, JD; Lee, S; Liu, T; Bazoukis, G; Mililis, P; Wong, ICK; Chen, C; Xia, YL; Kamakura, T; Aiba, T; Kusano, K; Zhang, QP; Letsas, KP

Tse, G (corresponding author), Univ Surrey, Fac Hlth & Med Sci, Guildford GU2 7AL, Surrey, England.; Zhang, QP (corresponding author), City Univ Hong Kong, Sch Data Sci, Hong Kong, Peoples R China.; Letsas, KP (corresponding author), Evangelismos Gen Hosp Athens, Lab Cardiac Electrophysiol, Dept Cardiol 2, Athens, Greece.

JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2020; 9 (22):

Abstract

Background A combination of clinical and electrocardiographic risk factors is used for risk stratification in Brugada syndrome. In this study, we test......

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