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A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts
BACKGROUND: Temporal expression extraction and normalization is a fundamental and essential step in clinical text processing and analyzing. Though a variety of commonly used NLP tools are available for medical temporal information extraction, few work is satisfactory for multi-lingual heterogeneous...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872502/ https://www.ncbi.nlm.nih.gov/pubmed/29589563 http://dx.doi.org/10.1186/s12911-018-0595-9 |