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Preventing adverse drug events by extracting information from drug fact sheets
2010
International Symposium for Semantic Mining in Biomedicine
The increasing volume and growing complexity of drugs lead to an increased risk of prescription errors and adverse events. A correct drug choice must be modulated to acknowledge both patients' status and drug-specific information. This information is reported in free-text on drug fact sheets. It is often overwhelming and difficult to access. There is thus a rising need for generating comprehensive and structured data that help prevent such events by improving access to fact sheet information.
dblp:conf/smbm/RubrichiSGQ10
fatcat:tn2whf3xunbspizqzkg7nmmlgu