• DocumentCode
    2344102
  • Title

    Concordance Analysis of DEXA Data

  • Author

    Hashemi, Ray R. ; Tyler, Alexander A. ; Childers, Christopher ; Chausmer, Arthur

  • Author_Institution
    Dept. of Comput. Sci., Armstrong Atlantic State Univ., Savannah, GA
  • fYear
    2007
  • fDate
    2-4 April 2007
  • Firstpage
    414
  • Lastpage
    419
  • Abstract
    The bone density measurements done by DEXA scanning approach are used in diagnosis of osteoporosis. There are six major sites used for DEXA scanning of each hip (three sites on the left and three sites on the right) including: the femoral neck, the trochanteric site, and Ward´s Triangle with or without corresponding total hip measurements. In the past, two separate researches conducted by the authors to determine whether all six measurements are needed for diagnosis of osteoporosis. The results revealed that none of the six measurements are redundant. The null hypothesis that we investigate in this paper is that having non-redundant sites means the measurements of bone density for these sites are in concordance. The concordance analysis is implemented using a new neural network (CNN). The results reveal that the null hypothesis is true
  • Keywords
    X-ray absorption; bone; diseases; medical computing; neural nets; patient diagnosis; DEXA scanning; Ward Triangle; bone density measurements; concordance analysis; dual energy X-ray absorptiometry; femoral neck; neural network; osteoporosis diagnosis; trochanteric site; Cellular neural networks; Computer science; Data analysis; Density measurement; Hip; Humans; Informatics; Neck; Neural networks; Osteoporosis; Concordance Neural Network.; Concordance analysis; DEXA scanning; Osteoporosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, 2007. ITNG '07. Fourth International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7695-2776-0
  • Type

    conf

  • DOI
    10.1109/ITNG.2007.58
  • Filename
    4151719