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Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010
OBJECTIVE: As clinical text mining continues to mature, its potential as an enabling technology for innovations in patient care and clinical research is becoming a reality. A critical part of that process is rigid benchmark testing of natural language processing methods on realistic clinical narrati...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BMJ Group
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3168309/ https://www.ncbi.nlm.nih.gov/pubmed/21565856 http://dx.doi.org/10.1136/amiajnl-2011-000150 |