• DocumentCode
    1732558
  • Title

    Multiviews ontologies alignment for medical based reasoning ontology based reasoning for VDS

  • Author

    Fujita, Hamido ; Hakura, Jun ; Kurematsu, Masaki

  • Author_Institution
    Intell. Software Syst. Lab., Iwate Prefectuarl Univ., Iwate, Japan
  • fYear
    2010
  • Firstpage
    15
  • Lastpage
    22
  • Abstract
    Two views representation for patient diagnosis is presented, to reason to examine medical status for patients. Emotional modeling and physical views, collectively; have been investigated and reported in this paper. These two types of ontology have been presented to formalize a patient state: mental ontology reflecting the patient mental behavior due to certain disorder and physical ontology reflecting the observed physical behavior exhibited through disorder. These two types of ontologies have been mapped and aligned for reasoning using a simple Bayesian Network for causal reasoning to define what we call as simple case diagnosis. We have constructed an integrated computerized model which reflects a human diagnostician as computer model and through it; an integrated interaction between that model and the real human user (patient) is utilized for 1st stage diagnosis purposes..
  • Keywords
    belief networks; inference mechanisms; medical computing; ontologies (artificial intelligence); patient diagnosis; Bayesian network; causal reasoning; emotional modeling; human diagnostician; medical based reasoning; multiviews ontologies alignment; patient diagnosis; Avatars; Cognition; Face; Medical diagnostic imaging; Medical services; Ontologies; Medical diagnosis; cognitive model; human interaction; knowledge based reasoning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Informatics (CINTI), 2010 11th International Symposium on
  • Conference_Location
    Budapest
  • Print_ISBN
    978-1-4244-9279-4
  • Electronic_ISBN
    978-1-4244-9280-0
  • Type

    conf

  • DOI
    10.1109/CINTI.2010.5672279
  • Filename
    5672279