Case based reasoning for medical decision-support in a safety critical environment
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 CAREPARTNER 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. © Springer-Verlag Berlin Heidelberg 2003.
Bichindaritz, I; Moinpour, C; Kansu, E; Donaldson, G; Bush, N; Sullivan, KM
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