Abstract
Since diagnosis of dysmorphic syndromes is a domain with incomplete knowledge 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. 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.
Paper domain: Decision support systems
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Taybi, H., Lachman, R.S.: Radiology of Syndromes, Metabolic Disorders, and Skeletal Dysplasia. Year Book Medical Publishers, Chicago (1990)
Gierl, L., Stengel-Rutkowski, S.: Integrating Consultation and Semi-automatic Knowledge Acquisition in a Prototype-based Architecture: Experiences with Dysmorphic Syndromes. Artif. Intell. Med. 6, 29–49 (1994)
Clinical Dysmorphology, http://www.clindysmorphol.com
Winter, R.M., Baraitser, M., Douglas, J.M.: A computerised data base for the diagnosis of rare dysmorphic syndromes. Journal of medical genetics 21(2), 121–123 (1984)
Stromme, P.: The diagnosis of syndromes by use of a dysmorphology database. Acta Paeditr Scand 80(1), 106–109 (1991)
Weiner, F., Anneren, G.: PC-based system for classifying dysmorphic syndromes in children. Computer Methods and Programs in Biomedicine 28, 111–117 (1989)
Evans, C.D.: A case-based assistant for diagnosis and analysis of dysmorphic syndromes. Int. J. Med. Inf. 20, 121–131 (1995)
Tversky, A.: Features of Similarity. Psychological Review 84(4), 327–352 (1977)
Rosch, E., Mervis, C.B.: Family Resemblance: Studies in the Internal Structures of Categories. Cognitive Psychology 7, 573–605 (1975)
Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann, San Mateo (1993)
Broder, A.: Strategies for efficient incremental nearest neighbor search. Pattern Recognition 23, 171–178 (1990)
Wilke, W., Smyth, B., Cunningham, P.: Using configuration techniques for adaptation. In: Lenz, M., et al. (eds.) Case-Based Reasoning technology, from foundations to applications, pp. 139–168. Springer, Berlin (1998)
Bareiss, R.: Exemplar-based knowledge acquisition. Academic Press, San Diego (1989)
Schmidt, R., Gierl, L.: Case-based Reasoning for antibiotics therapy advice: an investigation of retrieval algorithms and prototypes. Artif. Intell. Med. 23, 171–186 (2001)
Bellazzi, R., Montani, S., Portinale, L.: Retrieval in a prototype-based case library: a case study in diabetes therapy revision. In: Smyth, B., Cunningham, P. (eds.) Proc. European Workshop on Case-Based Reasoning, pp. 64–75. Springer, Berlin (1998)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Waligora, T., Schmidt, R. (2004). Case-Based Diagnosis of Dysmorphic Syndromes. In: Barreiro, J.M., MartÃn-Sánchez, F., Maojo, V., Sanz, F. (eds) Biological and Medical Data Analysis. ISBMDA 2004. Lecture Notes in Computer Science, vol 3337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30547-7_9
Download citation
DOI: https://doi.org/10.1007/978-3-540-30547-7_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23964-2
Online ISBN: 978-3-540-30547-7
eBook Packages: Springer Book Archive