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Discovering associations between adverse drug events using pattern structures and ontologies
BACKGROUND: Patient data, such as electronic health records or adverse event reporting systems, constitute an essential resource for studying Adverse Drug Events (ADEs). We explore an original approach to identify frequently associated ADEs in subgroups of patients. RESULTS: Because ADEs have comple...
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| Veröffentlicht in: | J Biomed Semantics |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5567667/ https://ncbi.nlm.nih.gov/pubmed/28830518 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13326-017-0137-x |
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