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One Page Partner Description: Holzinger Group, HCI-KDD, Medical University Graz (MUG) Group Humans are excellent at pattern recognition in dimensions of ≤3; however, Description most biomedical data sets are in dimensions much higher than 3, making manual analysis difficult. Efficient, useable computational methods, algorithms and tools to interactively gain knowledge of and insight into such data are a commandment of our time. The Holzinger Group works on a synergistic combination of two areas, offering best conditions to unravel such challenges: Human–Computer Interaction (HCI) & Knowledge Discovery/Data Mining (KDD), having the goal of supporting human intelligence with machine learning (human-in-the-loop), which is an important step towards future P4 personalized medicine. Key Andreas Holzinger is head of the Research Unit HCI-KDD, Institute for Medical Researcher Informatics, Medical University Graz, and Associate Professor at Graz University of Technology, where he teaches Biomedical Informatics, and supervises engineering students at the Institute of Information Systems. Andreas holds a PhD (1998) in Cognitive Science from Graz University and a Habilitation (second PhD, 2003) in Computer Science from Graz University of Technology. Andreas was Visiting Professor in Berlin, Innsbruck, Vienna, London and Aachen. Since 2000 he has participated in leading positions in 30+ R&D multi-national projects, budget 4+ MEUR, 5000+ citations, h-index =30+ Andreas is founder of the Expert Network HCI-KDD and Assoc. Editor of Knowledge and Information Systems (KAIS) and Brain Informatics (BRIN). Key European health systems are challenged by big and complex sets of Research heterogeneous, high-dimensional, and weakly-structured data and increasing Topics amounts of unstructured information, but we do not need more data, we need better data and we want to let the data speak. Consequently, the goal of the Holzinger Group is to research in advanced machine learning algorithms for knowledge discovery and to put the "doctor-into-the-loop", which is amongst the most promising field for high impact in Europe towards 2020. Recent Holzinger, A., Röcker, C. & Ziefle, M. (2015). Smart Health - state-of-the-art and Five beyond. Smart Health, Springer Lecture Notes in Computer Science, LNCS 8700. Publications Heidelberg et al.: Springer, pp. 1-20. Holzinger, A., Dehmer, M. & Jurisica, I. (2014). Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions. BMC Bioinformatics, 15, (S6), I1. Holzinger, A. (2014). Trends in Interactive Knowledge Discovery for Personalized Medicine: Cognitive Science meets Machine Learning. IEEE Intelligent Informatics Bulletin, 15, (1), 6-14. Holzinger, A. (2014). Extravaganza Tutorial on Hot Ideas for Interactive Knowledge Discovery and Data Mining in Biomedical Informatics. In: Ślȩzak, D., Tan, A.-H., Peters, J. & Schwabe, L. (eds.) Brain Informatics and Health. LNAI 8609. Heidelberg et al.: Springer, pp. 502-515. Holzinger, A. (2013). Human–Computer Interaction & Knowledge Discovery (HCI-KDD): What is the benefit of bringing those two fields to work together? In: Cuzzocrea, A., Kittl, C., Simos, D. E., Weippl, E. & Xu, L. (eds.) Multidisciplinary Research and Practice for Information Systems, Springer Lecture Notes in Computer Science LNCS 8127. Heidelberg et al.: Springer, pp. 319-328.