DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

Abstract Recent global developments underscore the prominent role big data have in modern medical science. But privacy issues constitute a prevalent problem for collecting and sharing data between researchers. However, synthetic data generated to represent real data carrying similar information and...

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Autores principales:	Vajira Thambawita, Jonas L. Isaksen, Steven A. Hicks, Jonas Ghouse, Gustav Ahlberg, Allan Linneberg, Niels Grarup, Christina Ellervik, Morten Salling Olesen, Torben Hansen, Claus Graff, Niels-Henrik Holstein-Rathlou, Inga Strümke, Hugo L. Hammer, Mary M. Maleckar, Pål Halvorsen, Michael A. Riegler, Jørgen K. Kanters
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/083a56ecd10843639b0fa258ef14862d
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DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

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