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Hybrid systems for medical data analysis and decision making-a case study on varicose vein disorders
By: Kasabov, N.; Solomon, C.; Bailey, M.; Greig, S.;
1995 / IEEE / 0-8186-7174-2
This item was taken from the IEEE Periodical ' Hybrid systems for medical data analysis and decision making-a case study on varicose vein disorders ' This paper examines the applicability of intelligent information processing techniques for the analysis of vascular laboratory data associated with varicose vein disorders. In the first section a brief description of varicose disease is provided. Next, the notion of applying different types of neural network to learning the dynamics of the disease is examined in two experiments. Subsequent to these, a new approach to visualising the output of a Kohonen network is presented. A brief discussion then follows on an architecture for combining these networks into an intelligent hybrid decision making system. Finally, directions for future research are discussed.
Neural Net Architecture
Self-organising Feature Maps
Medical Data Analysis
Medical Decision Making
Varicose Vein Disorders
Vascular Laboratory Data
Neural Network Architecture
Intelligent Hybrid Decision Making System
Decision Support Systems
Medical Expert Systems
Learning (artificial Intelligence)
Intelligent Information Processing