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Entity relation extraction from electronic medical records based on improved annotation rules and BiLSTM-CRF
BACKGROUND: Extracting entities and their relationships from electronic medical records (EMRs) is an important research direction in the development of medical informatization. Recently, a method was proposed to transform entity relation extraction into entity recognition by using annotation rules,...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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AME Publishing Company
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8506757/ https://www.ncbi.nlm.nih.gov/pubmed/34733967 http://dx.doi.org/10.21037/atm-21-3828 |