Name
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. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30547-7_9 | BIOLOGICAL AND MEDICAL DATA ANALYSIS, PROCEEDINGS |
Keywords | Field | DocType |
dysmorphic syndromes,adaptation paper domain: decision support systems,prototypicality measures,case-based reasoning,case base reasoning,decision support system | Incomplete knowledge,Computer science,Natural language processing,Artificial intelligence,Documentation,Case-based reasoning | Conference |
Volume | ISSN | Citations |
3337 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tina Waligora | 1 | 10 | 3.02 |
| Rainer Schmidt | 2 | 182 | 13.22 |