Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text.
Background: To detect attributes of medical concepts in clinical text, a traditional method often consists of two steps: named entity recognition of attributes and then relation classification between medical concepts and attributes. Here we present a novel solution, in which attribute detection of...
| Publicado en: | BMC Medical Informatics & Decision Making Vol. 19 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
12/5/2019 Supplement 5
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| Acceso en línea: | Ver este registro en EBSCOhost |