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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Proc Mach Learn Res |
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| Κύριοι συγγραφείς: | , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2019
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7266114/ https://ncbi.nlm.nih.gov/pubmed/32490377 |
| Ετικέτες: |
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