epSOS – Smart Open Services for European Patients - is the main European electronic Health (eHealth) interoperability project co-funded by the European Commission and the partners. It focuses on improving medical treatment of citizens while abroad by providing health professionals with the necessary patient data.
Background hypothesis. In existing search engines, including the most advanced question-answering architectures, such as EAGLi, answers or documents are provided to the user some relevance-driven ranking criteria. However, providing a ranked list of documents or answers is not sufficient regarding novelty detection; therefore being able to decide whether the retrieved answer is new would provide a major improvement, which could impact the intrinsic definition of relevance. Aims.
The DebugIT project is a large-scale integrating project funded within the 7th EU Framework Programme (FP7). The main objectives are to build IT tools that should have significant impacts for the monitoring and control of infectious diseases and antimicrobial resistances in Europe. This will be realized by building a technical and semantic infrastructure able to:
- share heterogeneous clinical data sets from different hospitals in different countries, with different languages and legislations
- analyze large amounts of this clinical data with advanced multimedia data mining
- apply the obtained knowledge for clinical decisions and outcome monitoring.
A joint project with the Swiss-Prot research group The Unimed project addresses the important problem of increasing interoperability between data resources from the medical informatics and the bioinformatics domains. We propose to link UniProtKB entries to the two most widely used disease terminologies:
- ICD-10, which is the official disease classification provided by the WHO,
- MeSH, which is the controlled vocabulary thesaurus used for biomedical and health-related document indexing.
Anaïs Mottaz, Yum L Yip, Patrick Ruch, and Anne-Lise Veuthey. Mapping protein information to disease terminologies. Journal of Integrative Bioinformatics, 4(3):243–251, 2007. ↩
Ruch Patrick, Mottaz Anaïs, Veuthey Anne-Lise, and others. Mapping proteins to disease terminologies: from uniprot to mesh. BMC Bioinformatics, 2008. ↩