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
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