Clinical trial and disease search with ad hoc interactive ontology alignments

Authors:
Daniel Sonntag;Jochen Setz;Maha Ahmed-Baker;Sonja Zillner
Affiliations:
German Research Center for AI (DFKI), Saarbruecken, Germany;German Research Center for AI (DFKI), Saarbruecken, Germany;German Research Center for AI (DFKI), Saarbruecken, Germany;Siemens AG, Corporate Technology, Munich, Germany
Venue:
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Year:
2012

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Abstract

We will explain how an LODD application based on diseases, drugs, and clinical trials can be used to improve the (ontology-based) clinical reporting process while, at the same time, it improves the patient follow-up treatment process. Specific requirements of the radiology domain let us aggregate RDF results from several LODD sources such as DrugBank, Diseasome, DailyMed, and LinkedCT. The idea is to use state-of-the-art string matching algorithms which allow for a ranked list of candidates and confidences of the approximation of the distance between two diseases at query time. Context information must be provided by the clinician who decides on the "related"-mappings of patient context and links he wants to follow in order to retrieve disease and medication information.