Abstract | ||
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Multiple disorders are a daily problem in medical di- agnosis and treatment. However, case-based diagnosis handling multiple disorders is still a challenging task. Although case-based reasoning has been applied suc- cessfully in medical domains, the handling of multiple disorders is often not sufficient. In this paper, we in- vestigate three improved approaches for handling mul- tiple disorders in case-based diagnosis. The methods are evaluated with a medical case base taken from a real world application. The context of our work is to supple- ment a medical documentation and consultation system by CBR techniques for experience management. |
Year | Venue | Keywords |
---|---|---|
2004 | FLAIRS Conference | case base reasoning |
Field | DocType | Citations |
Medical documents,Consultation system,Experience management,Computer science,Case base,Artificial intelligence,Medical physics,Machine learning,Medical diagnosis,Management science,Multiple disorders | Conference | 5 |
PageRank | References | Authors |
0.56 | 16 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Martin Atzmüller | 1 | 210 | 23.00 |
Joachim Baumeister | 2 | 400 | 55.69 |
Frank Puppe | 3 | 649 | 99.50 |
Wenqi Shi | 4 | 9 | 1.67 |
John A. Barnden | 5 | 179 | 32.41 |