Hybrid intelligent medical tutor for atheromatosis

Authors:
Katerina Kabassi;Maria Virvou;George Tsihrintzis
Affiliations:
Department of Informatics, University of Piraeus, Piraeus, Greece;Department of Informatics, University of Piraeus, Piraeus, Greece;Department of Informatics, University of Piraeus, Piraeus, Greece
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2006

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Abstract

This paper describes a hybrid intelligent medical tutor for atheromatosis. The tutor is called INTATU (INTelligent Atheromatosis TUtor). INTATU provides adaptive tutoring on Atheromatosis to various classes of users depending on their interests, background medical knowledge and computer skills. The adaptivity results from user modelling that is based on stereotypical knowledge about the potential users (patients, patients’ relatives, doctors, medical students, etc.). The inference mechanism uses a hybrid combination of rule-based reasoning of double stereotypes and decision making techniques.