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Mining clinical text for signals of adverse drug-drug interactions
BACKGROUND AND OBJECTIVE: Electronic health records (EHRs) are increasingly being used to complement the FDA Adverse Event Reporting System (FAERS) and to enable active pharmacovigilance. Over 30% of all adverse drug reactions are caused by drug–drug interactions (DDIs) and result in significant mor...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMJ Publishing Group
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3932451/ https://ncbi.nlm.nih.gov/pubmed/24158091 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-001612 |
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