Abstract
This paper describes methods to enable efficient use and administration of a CBR system for teledermatology in which the users are assumed to be non-computer literate. In particular, a user-friendly interface to enable a general practitioner to decide a diagnosis with the minimum number of questions asked is proposed. Specifically, we propose a technique to improve the usefulness of a decision tree approach in terms of general rather than specific questions. Additionally, we describe a new technique to minimise the number of questions presented to the user in the query process for training the CBR system. Importantly we apply FCA technique to enable the consultant dermatologist to validate new knowledge and supervised the incremental learning of the CBR system.
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© 2004 Springer-Verlag Berlin Heidelberg
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Ou, M.H., West, G.A.W., Lazarescu, M., Clay, C. (2004). User Friendly Decision Support Techniques in a Case-Based Reasoning System. In: Webb, G.I., Yu, X. (eds) AI 2004: Advances in Artificial Intelligence. AI 2004. Lecture Notes in Computer Science(), vol 3339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30549-1_62
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DOI: https://doi.org/10.1007/978-3-540-30549-1_62
Publisher Name: Springer, Berlin, Heidelberg
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