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Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives
OBJECTIVE: Identification of clinical events (eg, problems, tests, treatments) and associated temporal expressions (eg, dates and times) are key tasks in extracting and managing data from electronic health records. As part of the i2b2 2012 Natural Language Processing for Clinical Data challenge, we...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BMJ Publishing Group
2013
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3756271/ https://ncbi.nlm.nih.gov/pubmed/23605114 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-001625 |
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