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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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Библиографические подробности
Главные авторы: Torii, Manabu, Wagholikar, Kavishwar, Liu, Hongfang
Формат: Artigo
Язык:Inglês
Опубликовано: BMJ Group 2011
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Online-ссылка: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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