The Sixth IASTED International Conference on
Biomedical Engineering
~BioMed 2008~
February 13 – 15, 2008
Innsbruck, Austria
SPECIAL SESSION
Advances in Medical Decision Support Systems
Abstract
The foundation for any medical decision support is the medical knowledge base which contains the necessary rules and facts. This knowledge needs to be acquired from information and data in the fields of interest, such as medicine. Three general methodologies to acquire this knowledge can be distinguished: traditional expert systems, evidence-based methods, statistical, and artificial intelligence methods. The medical decision support system consists of differential diagnosis, computer-assisted instruction, consultation components, and their subsystems. The differential diagnosis component contains three subsystems: artificial neural network (ANN) model, time series analysis, and medical image analysis. Time series analysis is based on the extraction of information from medical signal data. Medical image analysis can be used for medical decision making. Important tools in modern decision-making, in any field, include those that allow the decision-maker to assign an object to an appropriate group, or classification. Clinical decision-making is a challenging, multifaceted process. Its goals are precision in diagnosis and institution of efficacious treatment. Achieving these objectives involves access to pertinent data and application of previous knowledge to the analysis of new data in order to recognize patterns and relations. As the volume and complexity of data have increased, use of digital computers to support data analysis has become a necessity. In addition to computerization of standard statistical analysis, several other techniques for computer-aided data classification and reduction, generally referred to as ANN, have evolved. This special session will focus on illustrative and detailed information about medical decision support systems and feature extraction/selection for automated diagnostic systems.
The focus of this special session is on advances in medical decision support systems including determination of optimum classification schemes for the problem under study and also to infer clues about the extracted features. Topics include, but are not limited to, the following:
- Decision Support Systems and Computer Aided Diagnosis
- Biomedical Signal Processing
- Modelling, Simulation, Systems, and Control
Email submissions directly to the organizer at: edubeyli@etu.edu.tr by October 19, 2007.
Biography of the Session Organizer
Elif Derya Übeyli (http://www.etu.edu.tr/~edubeyli) is an Associate Professor at the Department of Electrical and Electronics Engineering, TOBB University of Economics and Technology. She obtained Ph.D. degree in Electronics and Computer Technology from the Gazi University in 2004. She has worked on variety of topics including biomedical signal processing, neural networks, optimization, and artificial intelligence. She has worked on several projects related with biomedical signal acquisition, processing and classification. Dr. Übeyli has served (or is currently serving) as a program organizing committee member of the national and international conferences. She is editorial board member of several scientific journals. She is assistant editor of Expert Systems. She is serving as a guest editor to the Expert Systems on a special issue on "Advances in Medical Decision Support Systems". Moreover, she is voluntarily serving as a technical publication reviewer for many respected scientific journals and conferences. She has also published 75 journal and 33 conference papers on her research areas.
Important Deadlines
| Submissions due | October 19, 2007 |
| Notification of acceptance | November 15, 2007 |
| Final manuscripts due | December 12, 2007 |
| Registration deadline | December 12, 2007 |
