A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records.
Background: The Named Entity Recognition (NER) task as a key step in the extraction of health information, has encountered many challenges in Chinese Electronic Medical Records (EMRs). Firstly, the casual use of Chinese abbreviations and doctors' personal style may result in multiple expressions of...
| Publicado en: | BMC Medical Informatics & Decision Making Vol. 19 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
4/9/2019 Supplement 2
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| Acceso en línea: | Ver este registro en EBSCOhost |