CBMS 2009 - IEEE CBMS 2009: KNOWLEDGE DISCOVERY AND DECISION SYSTEMS IN BIOMEDICINE (KDDSB09)

KDDSB09: Special Track on Knowledge Discovery and Decision
Systems in Biomedicine (http://www.unicampus.it/KDDSB09/)

at IEEE CBMS 2009: 22th IEEE International Symposium on
COMPUTER-BASED MEDICAL SYSTEMS

August 3-4, 2009, Albuquerque, New Mexico, USA
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The vast amount of data generated by biomedical devices or
retrieved from archives motivates the development of tools that
are able to effectively and efficiently handle, analyse and
make use of this data.

On the one side, data mining has become a popular and effective way
of discovering new knowledge from large and complex data sets, and
particularly, medical data sets. Advances in data mining research and
technology have made it possible to solve many interesting problems in
medical diagnostics and healthcare.

On the other side, computer-based systems supporting the medical decisions
have attracted many research efforts. These systems can pursue different objectives,
such as pre-selecting the cases to be examined, serving as a second reader or
working as a tool for training and education of specialized medical personnel.
Currently, the development of versatile systems applicable to different working
scenarios is a major issue. Indeed, they call for careful design of data processing
methods as wells as the definition of decision rules. To the same extent, the
definition of performance evaluation criteria is mandatory to ensure that such
systems work safely and profitably.

This special track aims at bringing together researchers in the multi-disciplinary
area of knowledge discovery and computer-based decision systems in biomedicine,
and at providing a forum for the presentation and discussion of their research
activities. Engineers, scientists, psychologists, clinicians and computer and
cognitive scientists, as well as research project managers involved in such
biomedical projects are encouraged to submit papers to this special track.

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TOPICS OF INTEREST
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The topics of interest include but are not limited to:
- Classification, clustering and association analysis for biomedicine
- Recognition and biomedical imaging for knowledge discovery and decision support
- Feature extraction, selection and transformation for biomedical data
- Computer aided diagnosis
- Decision support systems in biomedicine
- Diagnostic systems based on information fusion
- Data streams and longitudinal data analysis
- Mining biomedical data with time- and context-changing patterns and data distributions
- Mining complex heterogeneous biomedical data including signals, images, clinical data,
genomic and proteomic data
- Retrieval of complex biomedical data
- Performance evaluation, ROC curve, accuracy measure and assessment, error cost analysis
and risk minimization
- Cost-sensitive data mining
- Visualization, evaluation and interpretation of data mining results
- Visualization of clinical data and visual data mining
- Knowledge-driven data mining approaches
- Case studies based on large medical databases
- Machine learning and data mining tools in medical applications
- Knowledge Discovery for personalisation and adaptation of medical information systems and services
- Medical knowledge elicitation, representation and integration in computer-based medical systems
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IMPORTANT DATES
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Paper submission due: April 1, 2009.
Notification of acceptance: May 25, 2009.
Camera ready papers: June 21, 2009.
Pre-registration deadline: June 21, 2009.
CBMS 2009 Symposium: August 3-4, 2009.

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PAPER SUBMISSION AND PUBLICATION
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Submitted papers have to be original, containing new and
original results. Electronic manuscripts (PDF file of at most
six Letter-size pages in the IEEE CS Press 8.5x11-inch 2-column
format that is available at
ftp://pubftp.computer.org/press/outgoing/proceedings/8.5x11%20-%20Formatting%20files/)
should be submitted via the EasyChair
(http://www.easychair.org/conferences/?conf=ieeecbm...) web
submission system (please select Special Track on Knowledge
Discovery and Decision Systems in Biomedicine).

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TRACK CHAIRS
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Mykola Pechenizkiy
Eindhoven University of Technology, the Netherlands

Seppo Puuronen
University of Jyvaskyla, Finland

Paolo Soda
University Campus Bio-Medico di Roma, Italy

Francesco Tortorella
University degli Studi di Cassino, Italy

Alexey Tsymbal
Siemens AG, Germany

For further questions please contact Mykola Pechenizkiy
(m.pechenizkiy-AT-tue.nl) or Paolo Soda (p.soda-AT-unicampus.it)