• DocumentCode
    2891456
  • Title

    Core Prescription Recommending System Based on Integrated Reasoning

  • Author

    Ping, Ding ; Liu, Lieli

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • fYear
    2009
  • fDate
    24-26 Nov. 2009
  • Firstpage
    279
  • Lastpage
    282
  • Abstract
    Recently, medical accidents, triggered by prescribing error events, have been the pivot of society concern. Recommending reasonable prescriptions by applying the technique of the computer and artificial intelligence is significant. According to the normal process of diagnosis, a prescription recommending system which applies integrated reasoning method based on RBR and CBR is put forward for recommending. The working theory, system architecture, and reasoning process have been analyzed. Some critical technology has been researched deeply. The designed system is in accordance with the actual process of prescription, and can prevent doctors from making unreasonable prescriptions.
  • Keywords
    artificial intelligence; case-based reasoning; medical diagnostic computing; CBR; RBR; artificial intelligence; core prescription recommending system; integrated reasoning; medical accidents; reasoning process; system architecture; unreasonable prescriptions; Accidents; Conference management; Diseases; Drugs; Hospitals; Humans; Information technology; Medical diagnostic imaging; Partial response channels; Technology management; CBR; Core Prescription; RBR; Recommending System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-5244-6
  • Electronic_ISBN
    978-0-7695-3896-9
  • Type

    conf

  • DOI
    10.1109/ICCIT.2009.201
  • Filename
    5367946