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Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
Tensor factorization has been demonstrated as an efficient approach for computational phenotyping, where massive electronic health records (EHRs) are converted to concise and meaningful clinical concepts. While distributing the tensor factorization tasks to local sites can avoid direct data sharing,...
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| Gepubliceerd in: | Proc ACM Int Conf Inf Knowl Manag |
|---|---|
| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6940039/ https://ncbi.nlm.nih.gov/pubmed/31897355 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3357384.3357878 |
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