• DocumentCode
    3429414
  • Title

    ADONIS: Automated diagnosis system based on sound and precise logical descriptions

  • Author

    Rodríguez, Alejandro ; Labra, José Emilio ; Alor-Hernandez, Giner ; Gómez, Juan Miguel ; Posada-Gomez, Rubén

  • Author_Institution
    Comput. Sci. Dept., Univ. Carlos III de Madrid, Leganes, Spain
  • fYear
    2009
  • fDate
    2-5 Aug. 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Automated medical diagnosis systems based on knowledge-oriented descriptions have gained momentum with the emergence of Semantic Descriptions. However, soundness and efficiency of the underlying logics in these descriptions are critical to harness the potential of these systems. In this paper, we provide a well-structured ontology for automated diagnosis and a three-fold formalization based on Predicate Logic, Description Logic and Rules.
  • Keywords
    formal logic; medical diagnostic computing; ontologies (artificial intelligence); semantic Web; ADONIS; automated medical diagnosis system; description logic; knowledge-oriented description; ontology; predicate logic; semantic description; three-fold formalization; Computer science; Concrete; Containers; Laboratories; Logic; Medical diagnosis; Medical diagnostic imaging; Ontologies; Parasitic diseases; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium on
  • Conference_Location
    Albuquerque, NM
  • ISSN
    1063-7125
  • Print_ISBN
    978-1-4244-4879-1
  • Electronic_ISBN
    1063-7125
  • Type

    conf

  • DOI
    10.1109/CBMS.2009.5255449
  • Filename
    5255449