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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 en: | Proc ACM Int Conf Inf Knowl Manag |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2019
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| Assuntos: | |
| Acceso en liña: | 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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