Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification.
Background: Temporal information detection systems have been developed by the Mayo Clinic for the 2012 i2b2 Natural Language Processing Challenge.Objective: To construct automated systems for EVENT/TIMEX3 extraction and temporal link (TLINK) identification from clinical text.Materials and Methods: T...
| Publicado en: | Journal of the American Medical Informatics Association Vol. 20; no. 5; pp. 836 - 843 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Oxford University Press / USA
Sep2013
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| Acceso en línea: | Ver este registro en EBSCOhost |