• DocumentCode
    3520828
  • Title

    Application of CBR on viral fever detection system(VFDS)

  • Author

    Deyashi, Samaresh ; Banerjee, Debrup ; Chakraborty, Baisakhi ; Ghosh, D. ; Debnath, Joyati

  • Author_Institution
    Nat. Inst. of Technol., Durgapur, India
  • fYear
    2011
  • fDate
    26-29 July 2011
  • Firstpage
    660
  • Lastpage
    665
  • Abstract
    In this paper an approach for developing knowledge-based viral fever detection system based on the methodology of case-based reasoning (CBR) is described. CBR is an approach for solving problems based on solutions of similar past case. Cases are stored in a database of cases called a case base (CB). To solve an actual problem a notation of similarities between problems is used to retrieve similar cases from the case base. The solutions of these similar cases are then used as starting points for solving the actual problem. This paper discusses on a viral fever detection system (VFDS) which helps the hospital or medical centre to detect the type of disease the patient is suffering from after being affected by some particular viral fever with its respective symptoms.
  • Keywords
    bio-optics; biomedical measurement; biothermics; case-based reasoning; diseases; information retrieval systems; infrared detectors; knowledge based systems; medical diagnostic computing; microorganisms; thermometers; case based reasoning; case retrieval; disease; hospital; knowledge based system; medical centre; viral fever detection system; Cognition; Diseases; Equations; Mathematical model; Pediatrics; Temperature measurement; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2011 9th IEEE International Conference on
  • Conference_Location
    Caparica, Lisbon
  • Print_ISBN
    978-1-4577-0435-2
  • Electronic_ISBN
    978-1-4577-0433-8
  • Type

    conf

  • DOI
    10.1109/INDIN.2011.6035037
  • Filename
    6035037