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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Bibliographic Details
Main Authors: 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
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Science
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Online Access:https://doaj.org/article/f1364f686bf341b4863accec047f7a93
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https://doaj.org/article/f1364f686bf341b4863accec047f7a93

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