Case-based reasoning
HYDI: a hybrid system with feedback for diagnosing multiple disorders
HYDI: a hybrid system with feedback for diagnosing multiple disorders
Neural networks for pattern recognition
Neural networks for pattern recognition
Advances in instance-based learning algorithms
Advances in instance-based learning algorithms
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary Algorithms in Engineering Applications
Evolutionary Algorithms in Engineering Applications
Machine Learning
The Application of Case-Based Reasoning to the Tasks of Health Care Planning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Data Mining and Resource Allocation: A Case Study
BASYS '02 Proceedings of the IFIP TC5/WG5.3 Fifth IFIP/IEEE International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services: Knowledge and Technology Integration in Production and Services: Balancing Knowledge in Product and Service Life Cycle
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In medical systems it is often advantageous to utilize specific problem situations (cases) in addition to or instead of a general model. Decisions are then based on relevant past cases retrieved from a case memory. The reliability of such decisions depends directly on the ability to identify cases of practical relevance to the current situation. This paper discusses issues of automated tuning in order to obtain a proper definition of mutual case similarity in a specific medical domain. The main focus is on a reasonably time-consuming optimization of the parameters that determine case retrieval and further utilization in decision making/ prediction. The two case studies - mortality prediction after cardiological intervention, and resource allocation at a spa - document that the optimization process is influenced by various characteristics of the problem domain.