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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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| Gepubliceerd in: | Clin Transl Radiat Oncol |
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| Hoofdauteurs: | , , , , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Elsevier
2017
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| Onderwerpen: | |
| Online toegang: | 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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