• DocumentCode
    1448460
  • Title

    Using fuzzy sets to diagnose coronary artery stenosis

  • Author

    Cios, Krzysztof J. ; Shin, Inho ; Goodenday, Lucy S.

  • Author_Institution
    Dept. of Electr. Eng., Toledo Univ., OH, USA
  • Volume
    24
  • Issue
    3
  • fYear
    1991
  • fDate
    3/1/1991 12:00:00 AM
  • Firstpage
    57
  • Lastpage
    63
  • Abstract
    The use of fuzzy sets to represent perfusion defects and to generate expert results to help in diagnosis is reported. Retrospective data collected from 91 patients who underwent both stress thallium-201 myocardial scintigraphy and coronary arteriography were used. Of the total, 64 scans were chosen at random for training, and the remaining 27 scans were used for testing data. It was found that 17 rules generated by fuzzy set theory performed as well as 68 rules specified by cardiologists in diagnosing coronary artery stenosis.<>
  • Keywords
    cardiology; fuzzy set theory; knowledge based systems; medical diagnostic computing; coronary arteriography; coronary artery stenosis; diagnose; expert results; fuzzy sets; patients; perfusion defects; rules; stress thallium-201 myocardial scintigraphy; Angiography; Arteries; Blood flow; Fuzzy sets; Heart; Medical diagnostic imaging; Myocardium; Stress; Testing; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/2.73513
  • Filename
    73513