Solving Safety Implications in a Case Based Decision- Support System in Medicine
نویسنده
چکیده
Case-based reasoning systems applied to safety-critical environments justify specific measures to ensure that the assistance provided is not dangerous to human life. Taking example on a case-based reasoning system developed for medical decision-support in stem cell post-transplant long-term follow-up, this article stresses the importance to differentiate between reliability and safety, and how case-based reasoning steps can be refined to ensure system safety. A knowledge-based approach has enabled to model what types of information are safety-critical, and to adapt the case-based decision-support advice using introspective reasoning.
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