June 27th - 30th, University of the West of England, Bristol, UK

Knowledge Discovery and Decision Systems in Biomedicine

For more details, please see this track's own site at http://www.unicampus.it/KDDSB11/

Call for papers

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 modern market, there are many developers who dream of launching a project (program, application, code) that could replace many digital tools and even human resources. Such a goal requires a lot of experience, obtaining the smallest results by trial and error, and in the end one of the millions of programmers or cyberneticians manages to launch something new and multifunctional. For example, students from the Institute of Computing and Cybernetics are working on creating an application with professional courses in the field of information technology. To present such a startup, it is also necessary to write a summary, goals, results and role in social development, if students have little time for this final part of the project launch, then we recommend that they buy analysis essay via https://exclusivepapers.net/buy-a-literary-analysis-paper.php.

On the one side, data mining has become a popular and effective wayof 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.

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

Download the call for papers

Track Chair(s)

Mykola Pechenizkiy, Eindhoven University of Technology, Netherlands
Paolo Soda, University Campus Bio-Medico of Rome, Italy
Francesco Tortorella, Università degli Studi di Cassino, Italy
Alexey Tsymbal, Siemens, Germany
Seppo Puuronen, University of Jyvaskyla, Finland

Knowledge Discovery and Decision Systems in Biomedicine

Call for papers

Track Chair(s)

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