Abstract
The Case-Based Reasoning (CBR) is an appropriate methodology to apply in diagnosis and treatment. Research in CBR is growing and there are shortcomings, especially in the adaptation mechanism. In this paper, besides presenting a methodological review of the technology applied to the diagnostics and health sector published in recent years, a new proposal is presented to improve the adaptation stage. This proposal is focused on preparing the data to create association rules that help to reduce the number of cases and facilitate learning adaptation rules.
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Blanco, X., Rodríguez, S., Corchado, J.M., Zato, C. (2013). Case-Based Reasoning Applied to Medical Diagnosis and Treatment. In: Omatu, S., Neves, J., Rodriguez, J., Paz Santana, J., Gonzalez, S. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 217. Springer, Cham. https://doi.org/10.1007/978-3-319-00551-5_17
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DOI: https://doi.org/10.1007/978-3-319-00551-5_17
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00550-8
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