Deep neural network-estimated electrocardiographic age as a mortality predictor

Deep neural network-estimated electrocardiographic age as a mortality predictor

The electrocardiogram (ECG) is the most commonly used exam for the screening and evaluation of cardiovascular diseases. Here, the authors propose that the age predicted by artificial intelligence from the raw ECG tracing can be a measure of cardiovascular health and provide prognostic information.

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Detalles Bibliográficos
Autores principales: Emilly M. Lima, Antônio H. Ribeiro, Gabriela M. M. Paixão, Manoel Horta Ribeiro, Marcelo M. Pinto-Filho, Paulo R. Gomes, Derick M. Oliveira, Ester C. Sabino, Bruce B. Duncan, Luana Giatti, Sandhi M. Barreto, Wagner Meira Jr, Thomas B. Schön, Antonio Luiz P. Ribeiro
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Science
Q
Acceso en línea:https://doaj.org/article/f1364f686bf341b4863accec047f7a93
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https://doaj.org/article/f1364f686bf341b4863accec047f7a93

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