• DocumentCode
    3215740
  • Title

    Research of electronic medical record data mining method based on variable precision rough set

  • Author

    Zhao, Chen-Guang ; Ge, Wen

  • Author_Institution
    Dept. of Electron. Inf. Eng., Shenyang Aerosp. Univ., Shenyang, China
  • Volume
    4
  • fYear
    2011
  • fDate
    29-31 July 2011
  • Abstract
    With the appearance of electronic medical records(E_MRs), it is possible to acquire and retrieve the medical and diag_nosis information. A variable precision rough set(VPRS)-based approach for electronic medical record data mining is proposed in this paper, the method overcomes the limitation of rough sets, inducting error accuracy to the model, improving fault tolerance. Finally the data mining experiment of electronic medical record is designed, the result shows that it is better to assist doctor to clinical diagnosis and treatment.
  • Keywords
    data mining; fault tolerance; information retrieval; medical information systems; rough set theory; clinical diagnosis; clinical treatment; diagnosis information retrieval; electronic medical record data mining method; fault tolerance; medical information retrieval; variable precision rough set; Adaptation models; Atmospheric measurements; Computational modeling; Computers; Medical diagnostic imaging; Particle measurements; data mining; diagnosis; electronic medical records (EMRs); error accuracy; variable precision rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Optoelectronics (ICEOE), 2011 International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-61284-275-2
  • Type

    conf

  • DOI
    10.1109/ICEOE.2011.6013488
  • Filename
    6013488