Using Prototypes and Adaptation Rules for Diagnosis of Dysmorphic Syndromes
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.
KeywordsDown Syndrome Eating Disorder Specific Syndrome Adaptation Rule Rare Syndrome
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- 1.Taybi, H., Lachman, R.S.: Radiology of Syndromes, Metabolic Disorders, and Skeletal Dysplasia. Year Book Medical Publishers, Chicago (1990)Google Scholar
- 3.Clinical Dysmorphology (last accessed, April 2006), http://www.clyndysmorphol.com
- 10.Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann Publishers, San Mateo (1993)Google Scholar
- 11.Aamodt, A., Plaza, E.: Case-Based Reasoning: Foundation issues, methodological variation, and system approaches. AICOM 7, 39–59 (1994)Google Scholar
- 14.Schank, R.C.: Dynamic Memory: A theory of learning in computer and people. Cambridge University Press, New York (1982)Google Scholar
- 18.Bichindaritz, I.: From cases to classes: Focusing on abstraction in case-based reasoning. In: Burkhard, H.-D., Lenz, M. (eds.) Proc. German Workshop on Case-Based Reasoning, pp. 62–69. University Press, Berlin (1996)Google Scholar