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The Role of a Deep-Learning Method for Negation Detection in Patient Cohort Identification from Electroencephalography Reports
Detecting negation in biomedical texts entails the automatic identification of negation cues (e.g. “never”, “not”, “no longer”) as well as the scope of these cues. When medical concepts or terms are identified within the scope of a negation cue, their polarity is inferred as “negative”. All the othe...
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| Publicado no: | AMIA Annu Symp Proc |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6371289/ https://ncbi.nlm.nih.gov/pubmed/30815145 |
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