Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk prediction

BACKGROUND: Left ventricular systolic dysfunction (LVSD) characterized by a reduced left ventricular ejection fraction (LVEF) is associated with adverse patient outcomes. We aimed to build a deep neural network (DNN)-based model using standard 12-lead electrocardiogram (ECG) to screen for LVSD and s...

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Detalles Bibliográficos
Autores principales: Huang, Yu-Chang, Hsu, Yu-Chun, Liu, Zhi-Yong, Lin, Ching-Heng, Tsai, Richard, Chen, Jung-Sheng, Chang, Po-Cheng, Liu, Hao-Tien, Lee, Wen-Chen, Wo, Hung-Ta, Chou, Chung-Chuan, Wang, Chun-Chieh, Wen, Ming-Shien, Kuo, Chang-Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029758/
https://www.ncbi.nlm.nih.gov/pubmed/36960474
http://dx.doi.org/10.3389/fcvm.2023.1070641

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029758/
https://www.ncbi.nlm.nih.gov/pubmed/36960474
http://dx.doi.org/10.3389/fcvm.2023.1070641

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