Using aggregation functions on structured data: a use case in the FIGHT-HF project
Résumé
Heart Failure is a serious condition, affecting more and more people every year. The project FIGHT-HF aims at getting a better understanding of the disease and finding innovative ways to prevent and treat it. In order to enable an evidence-based decision making and design novel therapeutic strategies from the collected data, effcient data
integration and mining tools must be used. We propose a method to aggregate complex graphs into simple weighted graphs, and to apply it on these data, containing complex relations between entities of various nature.