August 3-4, 2009, Albuquerque, New Mexico, USA

Special Track on:

KNOWLEDGE DISCOVERY AND DECISION SYSTEMS IN BIOMEDICINE (KDDSB09)

The vast amount of data generated by biomedical devices or retrieved from archives motivates the development of tools that are able to handle, analyse and make use of it in a computer-supported fashion.
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 got 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 medical projects are encouraged to submit papers to this special track.
Download the Call for Papers: in pdf , in txt

The Special Track on Knowledge Discovery and Decision Systems in Biomedicine has emerged from two special tracks organized at IEEE CBMS 2008, namely:

• Special Track on Knowledge Discovery and Knowledge-based Techniques and Systems in Medicine (has been part of IEEE CBMS since 2005)
• Special Track on Computer Based Decision Systems in Biomedicine

Since these two tracks shared a lot in common and complemented each other, this year we decided to organize a joint special track, covering many interesting topics on the crossroads of knowledge discovery and decision systems in biology and medicine.

Last year, selected papers of these two tracks have been invited to submit revised and substantially extended papers to the two special issues (in progress, to appear in 2009) with Data & Knowledge Engineering (Elsevier) and with Artificial Intelligence in Medicine (Elsevier) journals. This year we also intend to invite authors of selected paper to submit revised and substantially extended papers to a special issue.

Submitted papers have to be original, containing new and original results.
Unlike workshops, where position papers and reports on initial and intended work are appropriate, papers selected for a special track should report significant unpublished work suitable for publication as a conference paper. Submission implies the willingness of at least one of the authors to register and present the paper at the CBMS 2009 Symposium. All papers will be peer reviewed by at least two independent referees. All accepted papers will be included in the conference proceedings published by IEEE Computer Science Press. Electronic manuscripts (Postscript or PDF file) should be submitted via the conference web submission system. The names of the authors should not be included in the manuscript, but in a separate page which will contain the title of the paper, abstract, key words, names and affiliations of each author and full address, e-mail, affiliation and fax number of the corresponding author. The rest of the paper including title, abstract and key words should consist of at most six pages following the IEEE Computer Science Press 8.5x11-inch format (2-column).
IEEE file guide can be found here.
For more details please see the website of CBMS 2009.

The topics of interest will include but will be 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

Mykola Pechenizkiy
TUE, the Netherlands

Seppo Puuronen
University of Jyvaskyla, Finland

Paolo Soda
Università Campus Bio-Medico di Roma, Italy

Francesco Tortorella
Università degli Studi di Cassino, Italy

Alexey Tsymbal
Siemens AG, Germany

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