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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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| Publicado no: | Proc ACM Int Conf Inf Knowl Manag |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | 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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