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ContextD: an algorithm to identify contextual properties of medical terms in a Dutch clinical corpus
BACKGROUND: In order to extract meaningful information from electronic medical records, such as signs and symptoms, diagnoses, and treatments, it is important to take into account the contextual properties of the identified information: negation, temporality, and experiencer. Most work on automatic...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4264258/ https://ncbi.nlm.nih.gov/pubmed/25432799 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-014-0373-3 |
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