Development and validation of a dynamic deep learning algorithm using electrocardiogram to predict dyskalaemias in patients with multiple visits

AIMS: Deep learning models (DLMs) have shown superiority in electrocardiogram (ECG) analysis and have been applied to diagnose dyskalaemias. However, no study has explored the performance of DLM-enabled ECG in continuous follow-up scenarios. Therefore, we proposed a dynamic revision of DLM-enabled E...

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Detalles Bibliográficos
Autores principales: Lou, Yu-Sheng, Lin, Chin-Sheng, Fang, Wen-Hui, Lee, Chia-Cheng, Wang, Chih-Hung, Lin, Chin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890087/
https://www.ncbi.nlm.nih.gov/pubmed/36743876
http://dx.doi.org/10.1093/ehjdh/ztac072

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890087/
https://www.ncbi.nlm.nih.gov/pubmed/36743876
http://dx.doi.org/10.1093/ehjdh/ztac072

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