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Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions
OBJECTIVE: Data-mining algorithms that can produce accurate signals of potentially novel adverse drug reactions (ADRs) are a central component of pharmacovigilance. We propose a signal-detection strategy that combines the adverse event reporting system (AERS) of the Food and Drug Administration and...
Tallennettuna:
| Päätekijät: | , , , , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BMJ Publishing Group
2013
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3628045/ https://ncbi.nlm.nih.gov/pubmed/23118093 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2012-000930 |
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