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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Detalles Bibliográficos
Autores principales: Personeni, Gabin, Bresso, Emmanuel, Devignes, Marie-Dominique, Dumontier, Michel, Smaïl-Tabbone, Malika, Coulet, Adrien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
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

Internet

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

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