Multi‐modality machine learning approach for risk stratification in heart failure with left ventricular ejection fraction ≤ 45%

AIMS: Heart failure (HF) involves complex remodelling leading to electrical and mechanical dysfunction. We hypothesized that machine learning approaches incorporating data obtained from different investigative modalities including atrial and ventricular measurements from electrocardiography and echo...

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Detalhes bibliográficos
Publicado no:ESC Heart Fail
Main Authors: Tse, Gary, Zhou, Jiandong, Woo, Samuel Won Dong, Ko, Ching Ho, Lai, Rachel Wing Chuen, Liu, Tong, Liu, Yingzhi, Leung, Keith Sai Kit, Li, Andrew, Lee, Sharen, Li, Ka Hou Christien, Lakhani, Ishan, Zhang, Qingpeng
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2020
Assuntos:
Original Research Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7754744/
https://ncbi.nlm.nih.gov/pubmed/33094925
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/ehf2.12929
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