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Using machine learning for concept extraction on clinical documents from multiple data sources
OBJECTIVE: Concept extraction is a process to identify phrases referring to concepts of interests in unstructured text. It is a critical component in automated text processing. We investigate the performance of machine learning taggers for clinical concept extraction, particularly the portability of...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMJ Group
2011
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3168314/ https://ncbi.nlm.nih.gov/pubmed/21709161 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2011-000155 |
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