Named Entity Recognition in Chinese Electronic Medical Records Based on the Model of Bidirectional Long Short-Term Memory with a Conditional Random Field Layer...The 17th World Congress of Medical and Health Informatics, 25-30 August 2019, Lyon, France
Named entity recognition in electronic medical records is of great significance to the construction of medical knowledge maps. This paper proposes a model of bidirectional Long Short- Term Memory with a conditional random field layer(BiLSTMCRF). In terms of simultaneously identifying 5 types of clin...
| Publicado en: | Studies in Health Technology & Informatics Vol. 264; pp. 1524 - 1526 |
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| Autores principales: | , |
| Formato: | equations & formulas proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2019
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| Acceso en línea: | Ver este registro en EBSCOhost |