Abstract
Orion Systems International Limited has recognised the need in the healthcare industry for an application to provide robust clinical decision support. One possible approach is to develop a case-based reasoner to support decisions made in the disease management process. We have undertaken a project to investigate the validity of using case-based reasoning for this task, specifically focusing on the management of treatment of diabetes patients. An application that uses case-based reasoning has been developed and tested. This paper describes the pre-processing of cases, the development of a case representation and similarity metrics and evaluation. Results show that case-based reasoning could be a valid approach, but more investigation is needed.
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Wills, A., Watson, I. (2004). Building a Case-Based Reasoner for Clinical Decision Support. In: Zhang, C., W. Guesgen, H., Yeap, WK. (eds) PRICAI 2004: Trends in Artificial Intelligence. PRICAI 2004. Lecture Notes in Computer Science(), vol 3157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28633-2_59
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DOI: https://doi.org/10.1007/978-3-540-28633-2_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22817-2
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