Interactive knowledge validation and query refinement in CBR for decision support in medicine
dc.contributor.author | Ou, M. | |
dc.contributor.author | West, Geoff | |
dc.contributor.author | Lazarescu, Mihai | |
dc.contributor.author | Clay, C. | |
dc.contributor.editor | Silvia Miksch | |
dc.contributor.editor | Jim Hunter | |
dc.contributor.editor | Selpida Keravnou | |
dc.date.accessioned | 2017-01-30T15:36:12Z | |
dc.date.available | 2017-01-30T15:36:12Z | |
dc.date.created | 2014-10-28T02:31:41Z | |
dc.date.issued | 2005 | |
dc.identifier.citation | Ou, M. and West, G. and Lazarescu, M. and Clay, C. 2005. Interactive knowledge validation and query refinement in CBR for decision support in medicine, in Miksch, S. and Hunter, J. and Keravnou, S. (ed), Proceedings of the 10th Conference on Artificial Intelligence in Medicine (AIME), Jul 23-27 2005, pp. 289-299. Aberdeen: Springer. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/47870 | |
dc.description.abstract |
In most case-based reasoning (CBR) systems there has been little research done on validating new knowledge, specifically on how previous knowledge differs from current knowledge as a result of conceptual change. This paper proposes two methods that enable the domain expert, who is non-expert in artificial intelligence (AI), to interactively supervise the knowledge validation process in a CBR system, and to enable dynamic updating of the system, to provide the best di- agnostic questions. The first method is based on formal concept analysis which involves a graphical representation and comparison of the concepts, and a summary description high- lighting the conceptual differences. We propose a dissimilarity metric for measuring the degree of variation between the previous and current concepts when a new case is added to the knowledge base. The second method involves determining unexpected classification-based association rules to form critical questions as the knowledge base gets updated. | |
dc.publisher | Springer | |
dc.relation.uri | http://www.aaai.org/Papers/AAAI/2005/AAAI05-036.pdf | |
dc.title | Interactive knowledge validation and query refinement in CBR for decision support in medicine | |
dc.type | Conference Paper | |
dcterms.source.startPage | 289 | |
dcterms.source.endPage | 299 | |
dcterms.source.title | Proceedings, 10th conference on artificial intelligence in Medicine | |
dcterms.source.series | Proceedings, 10th conference on artificial intelligence in Medicine | |
dcterms.source.isbn | 3-540-27831-1 | |
dcterms.source.conference | AIME 2005 | |
dcterms.source.conference-start-date | Jul 23 2005 | |
dcterms.source.conferencelocation | Aberdeen | |
dcterms.source.place | Germany | |
curtin.department | Department of Computing | |
curtin.accessStatus | Fulltext not available |