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Conclusions DailyMed is a rich source of drug intelligence Unstructured, suffers all of the drawbacks typical of free text Hinders its use in decision support Querying, analysis, integration with other applications Concept mark-up and translation with Metawise Curation of assertional metadata Actionable information layer Metadata index provides powerful substrate for analysis Cluster drugs or individual labels Integrate with other data sources Conversion of data to standards is of increasing importance SEND from C-DISC, interchange between organisations and regulators BioWisdom © 2011
Contact: paul.bradley@biowisdom.com paul.bradley@instem.com BioWisdom © 2011
Page 1 and 2: Repurposing of drug label informati
Page 3 and 4: Dealing with Unstructured Text Impr
Page 5 and 6: Entity Recognition and Term Transla
Page 7 and 8: DailyMed BioWisdom © 2011
Page 9 and 10: DailyMed BioWisdom © 2011
Page 11 and 12: Assertional Metadata Combines conce
Page 13 and 14: Entity Recognition from Drug Labels
Page 15 and 16: The Benefits of Organised Data Docu
Page 17 and 18: Interoperability with Other Resourc
Page 19 and 20: Adverse Events per Label: Compariso
Page 21 and 22: Consistent Language Facilitates Ali
Page 23: BioWisdom © 2011

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