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Expert guided natural language processing using one-class classification
Introduction Automatically identifying specific phenotypes in free-text clinical notes is critically important for the reuse of clinical data. In this study, the authors combine expert-guided feature (text) selection with one-class classification for text processing. Objectives To compare the perfor...
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| Publicat a: | J Am Med Inform Assoc |
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| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2015
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4986669/ https://ncbi.nlm.nih.gov/pubmed/26063744 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocv010 |
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