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Annotation analysis for testing drug safety signals using unstructured clinical notes
BACKGROUND: The electronic surveillance for adverse drug events is largely based upon the analysis of coded data from reporting systems. Yet, the vast majority of electronic health data lies embedded within the free text of clinical notes and is not gathered into centralized repositories. With the i...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3337270/ https://ncbi.nlm.nih.gov/pubmed/22541596 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/2041-1480-3-S1-S5 |
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