First Call for Papers INTELLIGENT DATA ANALYSIS IN MEDICINE AND PHARMACOLOGY A Workshop at the Medinfo2001 London, UK, September 4th, 2001 http://magix.fri.uni-lj.si/idamap2001 GENERAL INFORMATION IDAMAP-2001, a one day Medinfo2001 Workshop, will be held in London, UK, on Tuesday, 4th of September, 2001. This is the sixth IDAMAP Workshop: the former ones were held in Budapest in 1996, Nagoya in 1997, Brighton in 1998, Washington DC in 1999, and Berlin in 2000. Gathering in an informal setting, workshop participants will have the opportunity to meet and discuss selected technical topics in an atmosphere which fosters the active exchange of ideas among researchers and practitioners. The workshop is intended to be a genuinely interactive event and not a mini-conference, thus ample time will be allotted for general discussion. TOPIC A large amount of data is currently being collected in bio-medicine for both experimental and observational purposes. This automatic data collection pushes towards the development of methods and tools able to handle and analyze data in a computer-supported fashion, and to support evidence to be exploited in all activities of the biomedical field. In the majority of the application areas, this task cannot be accomplished without using the available knowledge on the domain or on the data analysis process. This need becomes crucial in clinical applications, since medical decision making needs to be supported by arguments based on basic medical and pharmacological knowledge. The topics of the workshop are computational methods for biomedical data analysis that aim to narrow the gap between data gathering and data comprehension and to support the use and exploitation of observational and retrospective data. In terms of methodology, topics include, but are not limited to, - data mining techniques, including machine learning, clustering, neural networks, etc., - other techniques for construction of predictive models, - data visualization, - interpretation of time-ordered data (derivation and revision of temporal trends and other forms of temporal data abstraction), - knowledge management and its integration with intelligent data analysis techniques, - utility of background knowledge in data analysis, - integration of intelligent data analysis techniques within biomedical information systems. Contributions that discuss particular applications of intelligent data analysis techniques are invited, especially those that cover: - analysis of medical and health-care data; - analysis of pharmacological data, drug design, drug testing; discovery of new drug compounds, pharmacodynamical modeling; - exploration of bioinformatics data (protein structure prediction, functional genomics, analysis of gene expression data); - outcomes analysis. We further encourage the submission of papers that address question like: - What are the application classes that motivate the usage of certain methods? - What is the potential applicability (and generalizability) of proposed solutions? - What is the level of integration with other methods and tools to achieve real working systems? - What kind of knowledge is needed, used and/or extracted by the IDA and DM methods? - What is the role of prior knowledge in data analysis? - How should the available knowledge be represented? SCIENTIFIC PROGRAM The scientific program of the workshop will consist of presentations of invited and accepted papers and panel discussion. Papers are invited both on methodological issues of intelligent data analysis as well as on specific applications in biomedicine and pharmacology. The invited speakers and the topics of the panel discussion will be announced in subsequent CFPs. DEADLINES May 18, 2001 Papers submitted June 8, 2001 Notification of acceptance June 29, 2001 Final version of accepted papers received SUBMISSION AND PUBLICATION OF PAPERS The workshop invites submission of long and short papers written in English to the workshop chair, Riccardo Bellazzi. Authors should send an electronic submission in either PDF, PostScript or MS Word format to idamap2000@fri.uni-lj.si no later than May 18, 2001. The length of long papers is of about 5000 words (10 pages) and length of short papers is about 1500 words (3 pages). Authors will be notified of acceptance by June 8, 2001. Papers will appear as separate workshop notes. A subsequent publication of selected papers in peer-reviewed Journal is planned. REGISTRATION The registration fee for the IDAMAP meeting will be Sterling Pounds 30 per person. The fee for this meeting must be paid - without any deductions - directly to Peregrine (details on payment and registration process will be announced later this year and will be posted on IDAMAP web page, http://magix.fri.uni-lj.si/idamap2001). Peregrine will provide each delegate with proof of registration. Peregrine is providing all hotel accommodation for Medinfo (see http://www.medinfo2001.org/) and can offer this same service to any of the IDAMAP delegates. PROGRAM COMMITTEE - Riccardo Bellazzi, University of Pavia, Italy (chair) - Blaz Zupan, J. Stefan Institute, Slovenia (co-chair) - Xiaohui Liu, Brunel University, U.K. (co-chair) - Ameen Abu-Hanna, Academic Medical Center, Univ. of Amsterdam, The Netherlands - Noriaki Aoki, Baylor College of Medicine, USA - Lars Asker, Stockholm University, Sweden - Werner Horn, Austrian Research Institute for AI, Austria - Elpida Keravnou, University of Cyprus, Cyprus - Isaac Kohane, Harvard Medical School, Boston, USA - Cristiana Larizza, University of Pavia, Italy - Nada Lavrac, J. Stefan Institute, Slovenia - Peter Lucas, University of Aberdeen, UK - David Marrero, University of Indiana - Silvia Miksch, Vienna University of Technology, Austria - Christian Popow, University of Vienna, Austria - Marco Ramoni, Harvard Medical School, Boston, USA - Yuval Shahar, Ben-Gurion University of the Negev, Beer-Sheva, Israel -- Riccardo Bellazzi, PhD, Assistant Professor Dipartimento di Informatica e Sistemistica, Universita' di Pavia via Ferrata 1, 27100 Pavia, Italy, tel:39-0382-505511, fax:39-0382-505373 e-mail:ric@aim.unipv.it, http://aim.unipv.it/~ric