EVALUATING A CASE-BASED DISCOVERY SYSTEM - A CASE-STUDY IN CONTENT-ORIENTED EVALUATION

Authors
Citation
R. Oehlmann, EVALUATING A CASE-BASED DISCOVERY SYSTEM - A CASE-STUDY IN CONTENT-ORIENTED EVALUATION, Artificial intelligence in medicine, 12(1), 1998, pp. 61-76
Citations number
29
Categorie Soggetti
Computer Science Artificial Intelligence","Engineering, Biomedical","Computer Science Artificial Intelligence","Medical Informatics
ISSN journal
09333657
Volume
12
Issue
1
Year of publication
1998
Pages
61 - 76
Database
ISI
SICI code
0933-3657(1998)12:1<61:EACDS->2.0.ZU;2-L
Abstract
Research in case-based reasoning has explored the ideas of retrieving and adapting previous experience in the form of cases. The retrieval p rocess uses an index vocabulary which attempts to capture content and context of previous cases. Current approaches to empirical evaluation of case-based reasoning systems often do not consider the crucial role which a content-oriented index vocabulary plays in the various stages of the case-based reasoning process. We will address this issue by de scribing an evaluation of our case-based discovery system IULIAN. Base d on this description, we will propose a general schema for content-or iented evaluation of case-based reasoning systems. (C) 1998 Elsevier S cience B.V.