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Federated learning of predictive models from federated Electronic Health Records
BACKGROUND: In an era of “big data,” computationally efficient and privacy-aware solutions for large-scale machine learning problems become crucial, especially in the healthcare domain, where large amounts of data are stored in different locations and owned by different entities. Past research has b...
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| 出版年: | Int J 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: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5836813/ https://ncbi.nlm.nih.gov/pubmed/29500022 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijmedinf.2018.01.007 |
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