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Federated Tensor Factorization for Computational Phenotyping
Tensor factorization models offer an effective approach to convert massive electronic health records into meaningful clinical concepts (phenotypes) for data analysis. These models need a large amount of diverse samples to avoid population bias. An open challenge is how to derive phenotypes jointly a...
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| Pubblicato in: | KDD |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5652331/ https://ncbi.nlm.nih.gov/pubmed/29071165 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3097983.3098118 |
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