Jožef Stefan Institute (JSI), founded in 1949 and employing around 1,000 staff, is the leading Slovenian institution for research in natural sciences and technology. It pursues research, development and education at the highest international level of excellence. JSI has a long tradition of collaboration with the industry and other institutions across the globe, participating currently in over 300 international projects.
Two departments at JSI will participate in the proposed project: Department of Intelligent Systems (DIS, http://dis.ijs.si) and Department of Knowledge Technologies (DKT, http://kt.ijs.si/). Both departments share research areas that are key for the project: decision support, machine learning and data mining. DIS also works on optimization, speech and agent technologies, while DKT is interested in language and text. The departments not only pursue basic research, but also develop practical intelligent computer systems.
The main contribution of DIS is our extensive experience in e-health and ambient intelligence, where we are mainly working on the analysis of human behaviour and health using sensor and other data. We have developed a number of methods for the analysis of human movement, culminating in the victory at the international EvAAL activity-recognition competition. DIS’s latest research direction is the analysis of emotions based on physiological signals, voice and phone usage. We have also developed predictive models and a decision support system (DSS) for CHF in the European project Chiron. Finally, we are developing diagnostic methods employed by the Slovenian team in the 10-million-USD XPrize Tricorder competition.
The main contribution of DKT is our expertise in decision support, particularly in terms decision modelling, multi-criteria decision analysis, and combining data mining with expert modelling. We have developed a qualitative multi-criteria method DEX and supported it with software DEXi. We have developed numerous decision models and DSSs in medicine and health care: for nosocomial infection therapy, breast cancer and diabetic foot risk assessment, and for monitoring the Slovenian healthcare network. We have also developed DSSs in other areas, such as ecology, agronomy, food production and life sciences.
JSI will coordinate the project, drawing upon its extensive experience with international collaboration. We will lead WP4, where we will develop most of the HeartMan DSS. We will also assist in WP3 with the framework and methods for monitoring the users. Finally, we will be involved in some other WPs to ensure the methods we develop are supported by the appropriate domain knowledge and integrated in the HeartMan system, and to disseminate and exploit the results of the project.