Deep neural networks reveal novel sex-specific electrocardiographic features relevant for mortality risk

AIMS: Incorporation of sex in study design can lead to discoveries in medical research. Deep neural networks (DNNs) accurately predict sex based on the electrocardiogram (ECG) and we hypothesized that misclassification of sex is an important predictor for mortality. Therefore, we first developed and...

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Detalles Bibliográficos
Autores principales: Siegersma, Klaske R, van de Leur, Rutger R, Onland-Moret, N Charlotte, Leon, David A, Diez-Benavente, Ernest, Rozendaal, Liesbeth, Bots, Michiel L, Coronel, Ruben, Appelman, Yolande, Hofstra, Leonard, van der Harst, Pim, Doevendans, Pieter A, Hassink, Rutger J, den Ruijter, Hester M, van Es, René
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/PMC9707888/
https://www.ncbi.nlm.nih.gov/pubmed/36713005
http://dx.doi.org/10.1093/ehjdh/ztac010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707888/
https://www.ncbi.nlm.nih.gov/pubmed/36713005
http://dx.doi.org/10.1093/ehjdh/ztac010

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