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Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx
Detection of early symptoms in cervical cancer is crucial for early treatment and survival. To find symptoms of cervical cancer in clinical text, Named Entity Recognition is needed. In this paper the Clinical Entity Finder, a machine-learning tool trained on annotated clinical text from a Swedish in...
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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
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765575/ https://ncbi.nlm.nih.gov/pubmed/26958270 |
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