Invited keynote: Prof. Lars Juhl Jensen.
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Clinical data describing the phenotypes and treatment of patients is an underused data source that has much greater research potential than is currently realized. Mining of electronic health records (EHRs) has the potential for revealing unknown disease correlations and for improving post-approval monitoring of drugs. In my presentation I will introduce the centralized Danish health registries and show how we use them for identification of temporal disease correlations and discovery of common diagnosis trajectories of patients. I will also describe how we perform text mining of the clinical narrative from electronic health records and use this for identification of new adverse reactions of drugs.