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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...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Rink, Bryan, Harabagiu, Sanda, Roberts, Kirk
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BMJ Group 2011
Aiheet:
Linkit: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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