ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure

AIMS: Heart failure (HF) is a leading cause of death. Early intervention is the key to reduce HF-related morbidity and mortality. This study assesses the utility of electrocardiograms (ECGs) in HF risk prediction. METHODS AND RESULTS: Data from the baseline visits (1987–89) of the Atherosclerosis Ri...

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Detalles Bibliográficos
Autores principales: Akbilgic, Oguz, Butler, Liam, Karabayir, Ibrahim, Chang, Patricia P, Kitzman, Dalane W, Alonso, Alvaro, Chen, Lin Y, Soliman, Elsayed Z
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715759/
https://www.ncbi.nlm.nih.gov/pubmed/34993487
http://dx.doi.org/10.1093/ehjdh/ztab080

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715759/
https://www.ncbi.nlm.nih.gov/pubmed/34993487
http://dx.doi.org/10.1093/ehjdh/ztab080

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