Information technology and artificial intelligence in particular offer a broad variety of methods relevant for the medical domain. The analysis and automatic incorporation of elicited knowledge plays an important role in different fields of medicine. For instance, in intensive-care units huge amounts of data are collected automatically at the bedside. The analysis of this data allows to ease the work of physicians by providing reliable alarm systems and decision support systems. Clinical protocols are a way to guarantee a high quality of treatment in health care.

Past Master Thesis


Chevreul/etal/2014a Karine Chevreul, Georges Haour, Sandy Lucier, Stephanie Harvard, Marie-Laure Laroche, Xavier Mariette, Alain Saraux, Isabelle Durand-Zaleski, Francis Guillemin and Bruno Fautrel. Evolution of Direct Costs in the First Years of Rheumatoid Arthritis: Impact of Early versus Late Biologic Initiation - An Economic Analysis Based on the ESPOIR Cohort. In Plos One, No. 097077, 2014.
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Matsabura/etal/2014a Yasuko Matsubara and Yasushi Sakurai and Willem G. van Panhuis and Christos Faloutsos. FUNNEL: Automatic Mining of Spatially Coevolving Epidemics. In Proceedings of KDD, 2014.
Pasquini/etal/2014a Lorenzo Pasquini and Annika Tonch and Claudia Plant and Andrew Zherdin and Marion Ortner and Alexander Kurz and Hans F\"orstl and Claus Zimmer and Timo Grimmer and Afra M. Wohlschl\"ager and Valentin Riedl and Christian Sorg. Intrinsic Brain Activity of Cognitively Normal Older Persons Resembles More That of Patients Both with and at Risk for Alzheimer's Disease Than That of Healthy Younger Persons. In Brain Connectivity, Vol. 4, No. 5, pages 323--336, 2014.
Plant/etal/2014a Plant, Claudia and Zherdin, Andrew and Sorg, Christian and Meyer-B\"ase, Anke and Wohlschl\"ager, Afra M.. Mining Interaction Patterns among Brain Regions by Clustering. In IEEE Trans. Knowl. Data Eng., Vol. 26, No. 9, pages 2237--2249, 2014.
Turkay/etal/2014a Turkay, Cagatay and Jeanquartier, Fleur and Holzinger, Andreas and Hauser, Helwig. On Computationally-Enhanced Visual Analysis of Heterogeneous Data and Its Application in Biomedical Informatics. In Holzinger, Andreas and Jurisica, Igor (editors), Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, pages 117--140, Springer, 2014.
Panhuis/etal/2013a W.G.vanPanhuis,J.Grefenstette,S.Y.Jung,N.S.Chok,A.Cross,H.Eng, B. Y. Lee, V. Zadorozhny, S. Brown, D. Cummings, and D. S. Burke. Contagious diseases in the united states from 1888 to the present.. In NEJM, Vol. 369, No. 22, pages 2152–2158, 2013.
Kofod/2012a Kofod-Petersen, Anders. Machine learning and data mining for epidemic surveillance. In Medical Journal of Australia, Vol. 196, No. 5, 2012.
Pattakos/etal/2012a Gregory Pattakos andDouglas R. Johnston and Penny L. Houghtaling and Edward R. Nowicki and Eugene H. Blackstone. Preoperative Prediction of Non-Home Discharge: A Strategy to Reduce Resource Use after Cardiac Surgery. In J. American College of Surgeons, Vol. 214, No. 2, pages 140--147, 2012.
Lampos/Cristianini/2010a Lampos, Vasileios and Cristianini, Nello. Tracking the flu pandemic by monitoring the social web. In Proceedings of the 2nd International Workshop on Cognitive Information Processing, pages 411--416, Xplore digital library, 2010.
Morik/2010a Morik, Katharina. Medicine: Applications in Machine Learning. In Sammut, Claude and Webb, Geoffrey I. (editors), Encyclopedia of Machine Learning, pages 654-661, Springer, 2010.
Faber/2009a Faber, Vanessa. Computerunterstützte Analyse von Mammographie-Aufnahmen. TU Dortmund, 2009.
Schramm/Mierswa/2009a Schramm, Alexander and Mierswa, Ingo and Kaderali, Lars and Morik, Katharina and Eggert, Angelika and Schulte, Johannes H.. Reanalysis of neuroblastoma expression profiling data using improved methodology and extended follow-up increases validity of outcome prediction. In Cancer Letters, Vol. 282, No. 1, pages 56--62, 2009.
Czerniejewski/2008a Czerniejewski, Alice. Analyse von Krankenversichertendaten zur Identifikation psychischer Krankheiten. 2008.
Adam/etal/2007a Adam, N. and White, T. and Shafiq, B. and Vaidya, J. and He, X.. Privacy Preserving Integration of Health Care Data. In AMIA Annual Symposium Proceedings, pages 1--5, 2007.
Rieder/etal/2005a Rieder, M.J. and Reiner, A.P. and Gage, B.F. and Nickerson, D.A. and Eby, C.S. and McLeod, H.L. and Blough, D.K. and Thummel, K.E. and Veenstra D.L. and Rettie, A.E.. Effect of VKORC1 haplotypes on transcriptional regulation and warfarin dose. In New England Journal of Medicine, 2005.
Morik/etal/2002a Morik, Katharina and Joachims, T. and Imhoff, M. and Brockhausen, P. and Rüping, S.. Integrating Kernel Methods into a Knowledge-based Approach to Evidence-based Medicine. In Schmitt, Manfred and Teodorescu, Horia-Nicolai and Jain, Ashlesha and Jain, Ajita and Jain, Sandhya and Jain, Lakhmi C. (editors), Studies in Fuzzi- ness and Soft Computing., Vol. 96, pages 71--99, Physica-Verlag, 2002.
Scholz/2002a Scholz, Martin. Using real world data for modeling a protocol for ICU monitoring. In Lucas, Peter and Asker, Lars and Miksch, Silvia (editors), Intelligent Data Analysis in Medicine and Pharmacology Workshop (IDAMAP 2002), at 15th European Conference on Artificial Intelligence, pages 85--90, Lyon, France, 2002.
Imhoff/etal/2000a Imhoff, Michael and Gather, Ursula and Morik, Katharina. Dynamic Knowledge Discovery and Validation for Medical Decision Support. In Healthcare Information and Management Society 2000, Dallas, 2000.
Morik/etal/2000a Morik, Katharina and Imhoff, Michael and Brockhausen, Peter and Joachims, Thorsten and Gather, Ursula. Knowledge Discovery and Knowledge Validation in Intensive Care. In Artificial Intelligence in Medicine, Vol. 19, No. 3, pages 225--249, 2000.
Brockhausen/99a Peter Brockhausen. Learning First Order Rules in Intensive Care Monitoring. In Sa\vso D\vzeroski and Peter Flach (editors), ILP--99 Late-Breaking Papers, pages 22--27, Bled, Slovenia, 1999.
Brockhausen/99b Peter Brockhausen. Learning First--Order Rules in Intensive Care Monitoring. In Petra Perner (editors), Maschinelles Lernen, FGML 99, pages 1--7, Leipzig, Institut fur Bildverarbeitung und angewandte Informatik, 1999.
Bullerdick/Ritthoff/99a Kai Bullerdick and Oliver Ritthoff. mAGENTa -- Ein Internet-Agent zur automatischen Generierung von graphischen Benutzeroberflachen mittels maschineller Lernverfahren am Beispiel radiologischer Befunde. Fachbereich Informatik, Universitat Dortmund, 1999.
Bullerdick/Ritthoff/99b Bullerdick,Kai and Ritthoff,Oliver. mAGENTa - Ein Internet-Agent zur automatischen Generierung von graphischen Benutzeroberflachen mittels maschineller Lernverfahren am Beispiel radiologischer Befunde. In Informatiktage 1999, Fachwissenschaftlicher Kongress, pages 64 -- 67, Bad Schussenried,Germany, Konradin-Verlag, 1999.
Imhoff/etal/99b Imhoff, Michael and Gather, Ursula and Morik, Katharina. Development of Decision Support Algorithms for Intensive Care Medicine: A New Approach Combining Time Series Analysis and a Knowledge Base System with Learning and Revision Capabilities. In Burgard, Christaller, Cremers (editors), KI-99, Advances in Artificial Intelligence, 23rd Annual German Conference on Artificial Intelligence, pages 219 -- 230, Springer, 1999.
Morik/etal/99a Morik, Katharina and Brockhausen, Peter and Joachims, Thorsten. Combining statistical learning with a knowledge-based approach -- A case study in intensive care monitoring. In ICML '99: Proceedings of the Sixteenth International Conference on Machine Learning, pages 268--277, San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., 1999.
Morik/etal/99c Morik, Katharina and Pigeotb, Iris and Robers, Ursula. CORA -- A knowledge-based system for the analysis of case-control studies. In Computer Methods and Programs in Biomedicine, Vol. 58, pages 35--50, Amsterdam, Elsevier, 1999.
Morik/Imhoff/99a Morik, Katharina and Imhoff, Michael. Vergleich medizinischen Wissens und des aus einer intensivmedizinischen Datenbank gewonnenen Wissens am Beispiel des haemodynamischen Monitorings. In W.Kuckelt and K.Hankeln (editors), 9th Int. Symposium on Indensive Care, Lengerich, Berlin, Riga, Scottsdale (Az.), Wien, Zagreb, Pabstscience Publishers, 1999.
Aruca/etal/97a Aruca, Ayse and Bankmann, Tino and Becks, Andreas and Bullerdick, Kai and Frank, Steffen and Goren, Leyla and Klahold, Stefan and Klinkenberg, Ralf and Ritthoff, Oliver and Tuben, Uwe. Endbericht der Projektgruppe 281 ``MOSES'' (Medizinisch Orientiertes SprachevaluationsSystem). Fachbereich Informatik, Universitat Dortmund, Dortmund, Germany, 1997.
Morik/94b Morik, Katharina. KI und Neuroinformatik. In Fedrowitz, J. and Matejovski, D. and Kaiser, G. (editors), Zukunftsfragen der Hirnforschung, Campusverlag, 1994.
Morik/94d Morik, Katharina. KI und Neuroinformatik. No. 9, Universitat Dortmund, Lehrstuhl Informatik VIII, 1994.
Morik/etal/94a Morik, Katharina and Potamias, George and Moustakis, Vassilis and Charissis, George. Knowledgeable Learning Using MOBAL: A Medical Case Study. In Applied Artificial Intelligence, Vol. 8, No. 4, pages 579--592, 1994.
Morik/etal/93b Morik, Katharina and Potamias, George and Moustakis, Vassilis and Charissis, George. Knowledgeable Learning Using MOBAL - A Case Study on a Medical Domain. In Yves Kodratoff and Pat Langley (editors), Proceedings of the Applications Workshop at ECML, 1993.
Morik/etal/93c Morik, Katharina and Potamias, George and Moustakis, Vassilis and Charissis, George. Using Model-Based Learning to Support Clinical Decision Making - A Case Study. In 4th Conference on Artificial Intelligence in Medicine Europe, 1993.