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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...
Uloženo v:
| Vydáno v: | AMIA Annu Symp Proc |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
American Medical Informatics Association
2015
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765699/ https://ncbi.nlm.nih.gov/pubmed/26958183 |
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