Φορτώνει......
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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Clin Transl Radiat Oncol |
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| Κύριοι συγγραφείς: | , , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Elsevier
2017
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| Θέματα: | |
| Διαθέσιμο Online: | 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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