******************* Call for papers ******************************
IDAMAP 2007: Intelligent Data Analysis in bioMedicine And Pharmacology
8th July, 2007
A one-day workshop in Amsterdam, The Netherlands
Carlo Combi and Allan Tucker(chairs)
Organized in collaboration with Intelligent Data Analysis and Data
Mining Workgroup of International Medical Informatics Association, and
Knowledge Discovery & Data Mining SIG of American Medical Informatics
Association
Submission: April 9, 2007
Notification: May 15, 2007
Camera-ready: June 8, 2007
http://idamap.org/idamap2007
GENERAL INFORMATION
IDAMAP-2007, a workshop on intelligent data analysis in biomedicine and
pharmacology, will be held at the 11th Conference on Artificial Intelligence
in Medicine (AIME-2007) (http://www.aimedicine.eu/AIME07) in De Rode Hoed
in central Amsterdam.
The IDAMAP workshop series is devoted to computational methods for data
analysis in medicine, biology and pharmacology that present results of
analysis in the form communicable to domain experts and that somehow
exploit knowledge of the problem domain. Such knowledge may be available
at different stages of the data-analysis and model-building process.
Typical methods include data visualization, data exploration, machine
learning, and data mining. This year's IDAMAP will spend specific,
although not exclusive, attention to classification and forecasting.
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.
TOPICS
In the workshop, the attention will be given to methodological issues of
intelligent data analysis and on specific applications in biomedicine
and pharmacology. In terms of methodology, topics include, but are not
limited to:
- data mining and machine learning techniques for supervised and
unsupervised learning problems,
- exploiting domain knowledge in learning and data analysis,
- data visualization and exploration,
- analysis of large data sets and relational data mining,
- knowledge management and its integration with intelligent data
analysis techniques, and
- integration of intelligent data analysis techniques within
biomedical information systems.
Specific attention will be paid to classification and feature selection,
in particular:
- machine learning classification techniques for biomedical prediction and
- feature selection methods for identifying variables of interest.
A paper submitted to the workshop is expected to show a selected
methodology can help to solve relevant problems in medicine, and would
typically address the following issues:
- What is the medical or clinical problem addressed?
- Was any prior knowledge available? How was this used in the
data analysis or interpretation of results?
- How is/can the newly discovered knowledge put into use?
Contributions that discuss particular applications of intelligent data
analysis techniques are invited, and can for example cover analysis of
medical and health-care data, data coming from clinical bioinformatics
data bases (like microarray data and DNA sequence analysis), analysis of
pharmacological data, drug design, drug testing, and outcomes analysis.
DATA ANALYSIS TOOLS
In addition to regular scientic contributions, we invite developers of
data analysis tools to send in a paper description of their tool, and
give a demonstration during the workshop. A special demo session on data
analysis tools will be organized. The paper should describe the
underlying methodology of the tool and the sketch the potential for
application in the field of intelligent data analysis in biomedicine.
Preferably, the papers on data analysis tools should also describe a
case study where the tool was used.
PROGRAM
The scientific program of the workshop will consist of presentations of
accepted scientific papers, an invited presentation, and demonstrations
of data analysis tools. Ample time will be allotted for informal
discussion among the participants.
SUBMISSION & PUBLICATION OF ACCEPTED PAPERS
IDAMAP invites submissions of either short papers (2 pages, up to 1500
words, leading to a short presentation at the meeting) or full papers
(up to 6 pages/4500 words, leading to a long presentation at the
meeting). Papers should be written in English. Authors should send an
electronic submission in PDF format to both chairs ([EMAIL PROTECTED],
[EMAIL PROTECTED]); please use "IDAMAP SUBMISSION YOUR_NAME" as a
subject, where YOUR_NAME is the surname of the first author.
Alternatively to preferred PDF, submissions using Post Script or MS Word
format are also welcome.
The submissions should be received no later than April 9, 2007. Formatting
instructions and instructions for authors are available on Workshop's
home page at http://idamap.org/idamap2007.
Submitted papers will be reviewed by at least two people of the program
committee. Authors will be notified of acceptance/rejection by May 15,
2007. Accepted papers will appear in workshop notes that will be
distributed among registered participants. A subsequent publication of
selected and revised papers in a peer-reviewed, international journal is
planned.
REGISTRATION
Details on payment and registration will be announced later this spring
and will be posted on the AIME web page: http://www.aimedicine.eu/AIME07
PROGRAM COMMITTEE
Ameen Abu-Hanna, Academic Medical Center, Amsterdam, The Netherlands
Riccardo Bellazzi, University of Pavia, Italy
Carlo Combi, University of Verona, Italy (chair)
Janez Demsar, University of Ljubljana, Slovenia
Michel Dojat, Universite Joseph Fourier, Grenoble, France
Dragan Gamberger, Rudjer Boskovic Institute, Croatia
Werner Horn, Medical University of Vienna, Austria
John H. Holmes, University of Pennsylvania School of Medicine, USA
Jim Hunter, University of Aberdeen, UK
Elpida Keravnou-Papaeliou, University of Cyprus, Cyprus
Matjaz Kukar, University of Ljubljana, Slovenia
Pedro Larranaga, University of the Basque Country, San Sebastian, Spain
Nada Lavrac, J. Stefan Institute, Slovenia
Xiaohui Liu, Brunel University, UK
Peter Lucas, Radboud University Nijmegen, The Netherlands
Marco Masseroli, Politecnico of Milan, Italy
Silvia Miksch, Danube University Krems, Austria
Lucila Ohno-Machado, Harvard Medical School and M.I.T., Boston, USA
Niels Peek, Academic Medical Center, Amsterdam, The Netherlands
Marco Ramoni, Harvard Medical School, Boston, USA
Steve Rees, Aalborg University, Denmark
Paola Sebastiani, Boston University School of Public Health, USA
Yuval Shahar, Ben-Gurion University of the Negev, Israel
Stephen Swift, Brunel University, UK
Allan Tucker, Brunel University, UK (chair)
Blaz Zupan, University of Ljubljana, Slovenia
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