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Privacy-preserving model learning on a blockchain network-of-networks
OBJECTIVE: To facilitate clinical/genomic/biomedical research, constructing generalizable predictive models using cross-institutional methods while protecting privacy is imperative. However, state-of-the-art methods assume a “flattened” topology, while real-world research networks may consist of “ne...
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| Veröffentlicht in: | J Am Med Inform Assoc |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7025358/ https://ncbi.nlm.nih.gov/pubmed/31943009 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz214 |
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