• DocumentCode
    544578
  • Title

    New classifier for real time diagnosis

  • Author

    Iida, Kazuhiro

  • Author_Institution
    C&C Inf. Technol. Res. Labs., NEC Corp., Kawasaki, Japan
  • Volume
    3
  • fYear
    1992
  • fDate
    Oct. 29 1992-Nov. 1 1992
  • Firstpage
    924
  • Lastpage
    925
  • Abstract
    This paper proposes a flexible diagnostic system, named mSDN (multiple Stochastic Diagnostic Net- work). The mSDN efficiently learns quantitative rules, and adapts to patient´s individuality. Furthermore, acquired rules by mSDN are comprehensible, that ensures safety. The mSDN applied to a real-time diagnostic system will improve ´quality of life´.
  • Keywords
    learning (artificial intelligence); patient diagnosis; stochastic processes; diagnosis classifier; flexible diagnostic system; mSDN; multiple stochastic diagnostic network; patient individuality; quantitative rule learning; real time diagnosis; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
  • Conference_Location
    Paris
  • Print_ISBN
    0-7803-0785-2
  • Electronic_ISBN
    0-7803-0816-6
  • Type

    conf

  • DOI
    10.1109/IEMBS.1992.5761310
  • Filename
    5761310
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=544578