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Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis
BACKGROUND: There is an urgent need for the development of global analytic frameworks that can perform analyses in a privacy-preserving federated environment across multiple institutions without privacy leakage. A few studies on the topic of federated medical analysis have been conducted recently wi...
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| 出版年: | JMIR Med Inform |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
JMIR Publications
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5924379/ https://ncbi.nlm.nih.gov/pubmed/29653917 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/medinform.7744 |
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