1. Intelligent Techniques for Data Integration and Decision Support in the Medical Domain Mirjana Ivanović, Hans-Dieter Burkhard

2. AGENDA  General information  Scientific Objectives  Project Description and Structure  Expected benefit of project results  Conclusion

3. General information  Bilateral project Germany – Serbia  DAAD (G) - Ministry of Education and Science (S)  (Gabriela Lindemann – v. Trzebiatowski) Hans-Dieter Burkhard, Mirjana Ivanovic  Duration: 2011-2012 (Application June 2010)  Joint research, papers, mutual visits

4. AGENDA  General information  Scientific Objectives  Project Description and Structure  Expected benefit of project results  Conclusion

5. Scientific Objectives  Data commonly produced during medical practice falls into the category of complex data: -text documents, time-series (i.e., sequences of data points measured at successive times) -multimedia objects (images, sound, etc.)  The main objective of this project: investigation and application of different techniques for reasoning, mining and retrieval to problems recognized in medical domain

6. Scientific Objectives The main focus of the project will be placed on:  Investigating how to overcome difficulties in organizing (in appropriate way) huge amount of different kinds of medical data (numbers, text, images)  Incorporating reasoning and mining techniques in implementation of reliable general-purpose intelligent (DSS)  Developments of specific-purpose DSS (developed from general one) in several medical fields (Nephrology, Haematology, Pathology, and Neurology).  Usage of Ontology to improve results of more complex data analyses.

7. AGENDA  General information  Scientific Objectives  Project Description and Structure  Expected benefit of project results  Conclusion

8. Project Description and Structure  Nowadays, medical imaging, analysis of fluid and tissue samples and storage and retrieval of patient records require applications of sophisticated computer technologies  Realization of DSS for diagnosis, therapy planning or integration into a large-scale centralized repository.  Project will perform activities divided into 5 Working packages

9. Project Description and Structure  WP1. Analysis of the wide spectrum of heterogeneous data appearing in medical domains in order to identify characteristic ones.  WP2. Analysis of essential functionalities of different intelligent techniques and ways of their integration in general-purpose DSS.  WP3. Proposition of an architecture of a general-purpose DSS and its implementation.  WP4. Implementation of 2 special-purpose DSS for application in German and Serbian Clinics.  WP5. Development of a prototype with key functionalities for therapy planning.

10. AGENDA  General information  Scientific Objectives  Project Description and Structure  Expected benefit of project results  Conclusion

11. Expected benefit of project results  Survey, containing: 1)Proposition of characteristic medical data extracted from the wide spectrum of heterogeneous sources. 2) Ways of integration of key intelligent functionalities in a decision support system.  General-purpose DSS for medical domains.  2 special-purpose DSS for particular medical fields.  A prototype of a therapy planning system.

12. AGENDA  General information  Scientific Objectives  Project Description and Structure  Expected benefit of project results  Conclusion

13. Conclusion  Interesting: Selected projects, usually – environmental, nano technologies, medicine and food production  Low selection rate  Significant to make joint research, inclusion of young researchers  General expectation: joint applications for bigger EU projects