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Rediscovering drug side effects: the impact of analytical assumptions on the detection of associations in EHR data
Large clinical datasets can be used to discover and monitor drug side effects. Many previous studies analyzed symptom data as discrete events. However, some drug side effects are inferred from continuous variables such as weight or blood pressure. These require additional assumptions for analysis. F...
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| Foilsithe in: | AMIA Jt Summits Transl Sci Proc |
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| Main Authors: | , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
American Medical Informatics Association
2015
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4525264/ https://ncbi.nlm.nih.gov/pubmed/26306235 |
| Clibeanna: |
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