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Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features
BACKGROUND: Named entity recognition (NER) is an important task in clinical natural language processing (NLP) research. Machine learning (ML) based NER methods have shown good performance in recognizing entities in clinical text. Algorithms and features are two important factors that largely affect...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3618243/ https://www.ncbi.nlm.nih.gov/pubmed/23566040 http://dx.doi.org/10.1186/1472-6947-13-S1-S1 |