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Phenotype Inference with Semi-Supervised Mixed Membership Models
Disease phenotyping algorithms are designed to sift through clinical data stores to identify patients with specific diseases. Supervised phenotyping methods require significant quantities of expert-labeled data, while unsupervised methods may learn spurious or non-disease phenotypes. To address thes...
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| Publicado no: | Proc Mach Learn Res |
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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/PMC7266114/ https://ncbi.nlm.nih.gov/pubmed/32490377 |
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