• DocumentCode
    2006456
  • Title

    Deciding about syndromes with SYNFIN

  • Author

    Zavrsnik, J. ; Kancler, K. ; Zidanik, A. ; Bigec, M. ; Kokol, P.

  • Author_Institution
    Health Centre Dr. Adolf Drolc, Maribor, Slovenia
  • fYear
    1996
  • fDate
    17-18 Jun 1996
  • Firstpage
    83
  • Lastpage
    86
  • Abstract
    It has become evident that decision support systems play a very important role in medical decision making, particularly in those where decision must be made effectively and reliably. A syndrome is a combination of signs and/or symptoms that forms a distinct clinical picture indicative of a particular disorder. Here, the authors present a decision support system based on decision tree concept and automated learning which help medical personnel deciding about syndromes on a base of anomalies
  • Keywords
    decision support systems; medical computing; unsupervised learning; SYNFIN; automated learning; clinical symptoms; decision tree concept; distinct clinical picture; effective reliable decision; medical decision support systems; medical personnel assistance; medical signs; Anatomy; Classification tree analysis; Decision making; Decision support systems; Decision trees; Diseases; Humans; Medical diagnostic imaging; Pediatrics; Physiology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 1996., Proceedings Ninth IEEE Symposium on
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    1063-7125
  • Print_ISBN
    0-8186-7441-5
  • Type

    conf

  • DOI
    10.1109/CBMS.1996.507131
  • Filename
    507131