Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives.
Objective: Identification of clinical events (eg, problems, tests, treatments) and associated temporal expressions (eg, dates and times) are key tasks in extracting and managing data from electronic health records. As part of the i2b2 2012 Natural Language Processing for Clinical Data challenge, we...
| Publicado en: | Journal of the American Medical Informatics Association Vol. 20; no. 5; pp. 859 - 867 |
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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 |