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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567667/ https://www.ncbi.nlm.nih.gov/pubmed/28830518 http://dx.doi.org/10.1186/s13326-017-0137-x |