Exemplar based knowledge acquisition: a unified approach to concept representati on, classification, and learning
Adaptation-guided retrieval: questioning the similarity assumption in reasoning
Artificial Intelligence
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Retrieval in a Prototype-Based Case Library: A Case Study in Diabetes Therapy Revision
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Rapid retrieval algorithms for case-based reasoning
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Inductive Learning for Case-Based Diagnosis with Multiple Faults
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Case-Based Reasoning in the Care of Alzheimer's Disease Patients
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Cost-sensitive case-based reasoning using a genetic algorithm: Application to medical diagnosis
Artificial Intelligence in Medicine
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In this paper, we describe case-based techniques in a medical application. We have developed a prototype of an antibiotics therapy adviser within the ICONS project, where the main advantage of applying CBR techniques is to speed-up the process of computing advisable therapies. However, some adaptations do not really belong to the Case-Based Reasoning paradigm though information from former cases is considered. They deal with rather typical medical tasks, namely modifications due to information updates. In our incrementally working system we have attempted to solve the problem of the continuously increasing number of stored cases by generalising from specific single cases to more general prototypes and by subsequently erasing redundant cases. Here we present results of experiments with threshold settings for our prototype architecture. The results show that the chosen design, which has mainly been founded on experiences with diagnostic applications, is not only advantageous for this therapeutic task, but that it contains a slight drawback as well.