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A method for systematic discovery of adverse drug events from clinical notes
Objective Adverse drug events (ADEs) are undesired harmful effects resulting from use of a medication, and occur in 30% of hospitalized patients. The authors have developed a data-mining method for systematic, automated detection of ADEs from electronic medical records. Materials and Methods This me...
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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4921953/ https://ncbi.nlm.nih.gov/pubmed/26232442 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocv102 |
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