The future of digital health with federated learning

Data-driven machine learning (ML) has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern healthcare systems. Existing medical data is not fully exploited by ML primarily because it sits in data silos and...

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Detalles Bibliográficos
Autores principales: Rieke, Nicola, Hancox, Jonny, Li, Wenqi, Milletarì, Fausto, Roth, Holger R., Albarqouni, Shadi, Bakas, Spyridon, Galtier, Mathieu N., Landman, Bennett A., Maier-Hein, Klaus, Ourselin, Sébastien, Sheller, Micah, Summers, Ronald M., Trask, Andrew, Xu, Daguang, Baust, Maximilian, Cardoso, M. Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490367/
https://www.ncbi.nlm.nih.gov/pubmed/33015372
http://dx.doi.org/10.1038/s41746-020-00323-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490367/
https://www.ncbi.nlm.nih.gov/pubmed/33015372
http://dx.doi.org/10.1038/s41746-020-00323-1

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