Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT

Machine learning applications for personalized medicine are highly dependent on access to sufficient data. For personalized radiation oncology, datasets representing the variation in the entire cancer patient population need to be acquired and used to learn prediction models. Ethical and legal bound...

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Detalles Bibliográficos
Autores principales: Deist, Timo M., Jochems, A., van Soest, Johan, Nalbantov, Georgi, Oberije, Cary, Walsh, Seán, Eble, Michael, Bulens, Paul, Coucke, Philippe, Dries, Wim, Dekker, Andre, Lambin, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5833935/
https://www.ncbi.nlm.nih.gov/pubmed/29594204
http://dx.doi.org/10.1016/j.ctro.2016.12.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5833935/
https://www.ncbi.nlm.nih.gov/pubmed/29594204
http://dx.doi.org/10.1016/j.ctro.2016.12.004

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