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Automatic extraction of relations between medical concepts in clinical texts
OBJECTIVE: A supervised machine learning approach to discover relations between medical problems, treatments, and tests mentioned in electronic medical records. MATERIALS AND METHODS: A single support vector machine classifier was used to identify relations between concepts and to assign their seman...
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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/PMC3168312/ https://ncbi.nlm.nih.gov/pubmed/21846787 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2011-000153 |
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