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Detection of Pharmacovigilance-Related adverse Events Using Electronic Health Records and automated Methods
Electronic health records (EHRs) are an important source of data for detection of adverse drug reactions (ADRs). However, adverse events are frequently due not to medications but to the patients’ underlying conditions. Mining to detect ADRs from EHR data must account for confounders. We developed an...
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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2012
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3685297/ https://ncbi.nlm.nih.gov/pubmed/22713699 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/clpt.2012.54 |
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