Mining interesting clinico‐genomic associations: The healthobs approachMining interesting clinico‐genomic associations: The healthobs approach Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2015-11-032007enHealthObs is an integrated (Java-based) environment targeting the seamless integration and intelligent processing of distributed and heterogeneous clinical and genomic data. Via the appropriate customization of standard medical and genomic data-models HealthObs achieves the semantic homogenization of remote clinical and gene-expression records, and their uniform XML-based representation. The system utilizes data-mining techniques (association rules mining) that operate on top of query-specific XML documents. Application of HealthObs on a real world breast-cancer clinico-genomic study demonstrates the utility and efficiency of the approach.http://creativecommons.org/licenses/by/4.0/137-1454th IFIP Conference on Artificial Intelligence Applications and Innovations Moustakis Vasilis Μουστακης Βασιλης George Potamias Lefteris Koumakis Alexandros Kanterakis Dimitrsi Kafetzopoulos Manolis Tsiknakis Spriger Verlag