ISOR: An Expert-System for Investigations of Therapy Inefficacy

  • Rainer Schmidt
  • Olga Vorobieva
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4251)


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.


Case Base Clin Psychiatry Case Solution Prototypical Case Sodium Hydrocarbonate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Rainer Schmidt
    • 1
  • Olga Vorobieva
    • 1
  1. 1.Institute for Medical Informatics and BiometryUniversity of RostockRostockGermany

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