• DocumentCode
    1615178
  • Title

    A decision support system for breast cancer treatment based on data mining technologies and clinical practice guidelines

  • Author

    Skevofilakas, M.T. ; Nikita, K.S. ; Templaleksis, P.H. ; Birbas, K.N. ; Kaklamanos, I.G. ; Bonatsos, G.N.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    2429
  • Lastpage
    2432
  • Abstract
    Evidence based medicine is the clinical practice that uses medical data and proof in order to make efficient decisions in the field of the medical domain. Information technology services play a crucial role in exploiting the huge size of medical data involved. Furthermore health care society nowadays utilizes clinical guidelines as a new assistant in their efforts to improve clinical decision efficacy. Clinical guidelines provide for the decrease of variance in medical decision making, leading to an improvement of clinical outcome. Therefore this paper focus is twofold. Improving the provision and visualization of disease specific, clinical data, providing for it´s faster and more efficient use, while making sure that consistency appears in the clinical practice by importing clinical guidelines in decision support systems
  • Keywords
    biological organs; cancer; data mining; decision making; decision support systems; gynaecology; health care; medical information systems; patient treatment; breast cancer treatment; clinical decision efficacy; clinical practice guidelines; data mining; decision support system; disease; evidence based medicine; health care; information technology; medical decision making; Breast cancer; Data mining; Decision support systems; Diseases; Guidelines; Hospitals; Medical diagnostic imaging; Medical services; Medical treatment; Oncological surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616959
  • Filename
    1616959