Machine learning-based prediction of acute mortality in emergency department patients using twelve-lead electrocardiogram

BACKGROUND: The risk of mortality is relatively high among patients who visit the emergency department (ED), and stratifying patients at high risk can help improve medical care. This study aimed to create a machine-learning model that utilizes the standard 12-lead ECG to forecast acute mortality ris...

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Detalles Bibliográficos
Autores principales: Chang, Po-Cheng, Liu, Zhi-Yong, Huang, Yu-Chang, Hsu, Yu-Chun, Chen, Jung-Sheng, Lin, Ching-Heng, Tsai, Richard, Chou, Chung-Chuan, Wen, Ming-Shien, Wo, Hung-Ta, Lee, Wen-Chen, Liu, Hao-Tien, Wang, Chun-Chieh, 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/PMC10641780/
https://www.ncbi.nlm.nih.gov/pubmed/37965090
http://dx.doi.org/10.3389/fcvm.2023.1245614

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641780/
https://www.ncbi.nlm.nih.gov/pubmed/37965090
http://dx.doi.org/10.3389/fcvm.2023.1245614

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