Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study
Drug-drug interactions (DDIs) are a major contributing factor for unexpected adverse drug events (ADEs). However, few of knowledge resources cover the severity information of ADEs that is critical for prioritizing the medical need. The objective of the study is to develop and evaluate a Semantic Web-based approach for mining severe DDI-induced ADEs.
drug-drug interaction semantic web technology adverse drug event data mining electronic medical records