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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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| Publicado no: | Clin Transl Radiat Oncol |
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| Main Authors: | , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5833935/ https://ncbi.nlm.nih.gov/pubmed/29594204 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ctro.2016.12.004 |
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