Abstract
ISOR is a Case-Based system for long-term therapy support in the endocrine domain and in psychiatry. It performs typical therapeutic tasks, namely computing initial therapies, initial dose recommendations, and dose updates. Furthermore, ISOR deals especially with situations where therapies become ineffective. Causes for inefficacy have to be found and better therapy recommendations should be computed. In addition to the typical Case-Based Reasoning knowledge, namely former already solved cases, ISOR uses further knowledge forms, especially medical histories of query patients themselves, prototypical cases (prototypes) and therapies, conflicts, instructions etc. So, different forms and steps of retrieval are performed, while adaptation occurs as an interactive dialog with the user. Since therapy inefficacy can be caused by various circumstances, ISOR searches for former similar cases to get ideas about probable reasons that subsequently should be carefully investigated.
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Schmidt, R., Vorobieva, O. (2006). ISOR: An Expert-System for Investigations of Therapy Inefficacy. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_41
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DOI: https://doi.org/10.1007/11892960_41
Publisher Name: Springer, Berlin, Heidelberg
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