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Special Issue on: " Adaptivity and user modelling in hypermedia systems " Peter Brusilovsky and Maria Milosavljevic (Eds) AbstractAbstract We describe a project aimed at developing a tool to generate user and context-adapted textual descriptions of clinical guidelines on the World Wide Web. ARIANNA employs two knowledge sources (a decision tree and a(More)
We present the first results of a research aimed at generating user-adapted image descriptions from annotated knowledge sources. This system employes a User Model and several knowledge sources to select the image attributes to include in the description and the level of detail. Both 'individual' and 'comparative-descriptions' may be generated, by taking an(More)
OBJECTIVE The aim of the study was to assess the diagnostic potential of diffusion tensor imaging (DTI) for pathologies of the peripheral nervous system (PNS) through clinical, electrophysiological and morphological evaluation of the median nerve. METHODS The present work was a multilevel prospective study involving 30 subjects, 15 of whom had carpal(More)
We present an ongoing research aimed at developing a tool to generate user and context-adapted clinical guidelines on the World Wide Web (WWW). ARIANNA employs two knowledge sources (a decision tree, representing the decision process, and a taxonomy of concepts in the clinical domain) and schema and ATN-based NLG techniques, to generate dynamically the(More)
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