Abstract
Case-based reasoning systems applied to safety-critical environments justify specific measures to ensure that the assistance provided is not dangerous to human life. This article presents a case-based reasoning system developed for medical decision-support in a safety-critical environment, the CARE- PARTNER system. Based on the evaluation of the reliability of the system, it stresses the importance to differentiate between reliability and safety, and how case-based reasoning can ensure safety. A knowledge-based approach has enabled to model what types of information are safety-critical, and to adapt the decision-support system results, by introspective reasoning, based on the knowledge type, the user, and the task.
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Bichindaritz, I., Moinpour, C., Kansu, E., Donaldson, G., Bush, N., Sullivan, K.M. (2003). Case Based Reasoning for Medical Decision-Support in a Safety Critical Environment. In: Dojat, M., Keravnou, E.T., Barahona, P. (eds) Artificial Intelligence in Medicine. AIME 2003. Lecture Notes in Computer Science(), vol 2780. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39907-0_43
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DOI: https://doi.org/10.1007/978-3-540-39907-0_43
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