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Hybrid Intelligent Medical Tutor for Atheromatosis

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4252))

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.

This work has been funded by the Greek Ministry of Education, as part of the PYTHAGORAS II basic research program.

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Author information

Authors and Affiliations

  1. Department of Informatics, University of Piraeus, 80 Karaoli & Dimitriou St., 18534, Piraeus, Greece

    Katerina Kabassi, Maria Virvou & George Tsihrintzis

  2. Department of Ecology and the Environment, Technological Educational Institute of the Ionian Islands, 2 Kalvou Sq., 29100, Zakynthos, Greece

    Katerina Kabassi

Authors
  1. Katerina Kabassi
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  2. Maria Virvou
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  3. George Tsihrintzis
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Kabassi, K., Virvou, M., Tsihrintzis, G. (2006). Hybrid Intelligent Medical Tutor for Atheromatosis. 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 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_163

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  • DOI: https://doi.org/10.1007/11893004_163

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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