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Semi-supervised Learning for Phenotyping Tasks
Supervised learning is the dominant approach to automatic electronic health records-based phenotyping, but it is expensive due to the cost of manual chart review. Semi-supervised learning takes advantage of both scarce labeled and plentiful unlabeled data. In this work, we study a family of semi-sup...
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| Publicado en: | AMIA Annu Symp Proc |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
American Medical Informatics Association
2015
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765699/ https://ncbi.nlm.nih.gov/pubmed/26958183 |
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