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Phenotyping through Semi-Supervised Tensor Factorization (PSST)
A computational phenotype is a set of clinically relevant and interesting characteristics that describe patients with a given condition. Various machine learning methods have been proposed to derive phenotypes in an automatic, high-throughput manner. Among these methods, computational phenotyping th...
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| Udgivet i: | AMIA Annu Symp Proc |
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| Main Authors: | , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
American Medical Informatics Association
2018
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6371355/ https://ncbi.nlm.nih.gov/pubmed/30815097 |
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