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Annotating Risk Factors for Heart Disease in Clinical Narratives for Diabetic Patients
The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on identifying risk factors for heart disease (specifically, Cardiac Artery Disease) in clinical narratives. For this track, we used a “light” annotation paradigm to annotate a set of 1,304 longitudinal medical r...
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| Publicado en: | J Biomed Inform |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2015
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4978180/ https://ncbi.nlm.nih.gov/pubmed/26004790 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2015.05.009 |
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