Exemplar based knowledge acquisition: a unified approach to concept representati on, classification, and learning
Strategies for efficient incremental nearest neighbor search
Pattern Recognition
Case-based reasoning
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
Using Configuration Techniques for Adaptation
Case-Based Reasoning Technology, From Foundations to Applications
Artificial Intelligence in Medicine
Case-based estimation of the risk of enterobiasis
Artificial Intelligence in Medicine
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Since diagnosis of dysmorphic syndromes is a domain with incomplete knowledge and where even experts have seen only few syndromes themselves during their lifetime, documentation of cases and the use of case-oriented techniques are popular. In dysmorphic systems, diagnosis usually is performed as a classification task, where a prototypicality measure is applied to determine the most probable syndrome. These measures differ from the usual Case-Based Reasoning similarity measures, because here cases and syndromes are not represented as attribute value pairs but as long lists of symptoms, and because query cases are not compared with cases but with prototypes. In contrast to these dysmorphic systems our approach additionally applies adaptation rules. These rules do not only consider single symptoms but combinations of them, which indicate high or low probabilities of specific syndromes.