Discovering associations between adverse drug events using pattern structures and ontologies

摘要

BackgroundPatient 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.