A hierarchical opportunistic screening model for osteoporosis using machine learning applied to clinical data and CT images

Table 1 Demographic characteristics of each subgroup

Group	Condition	Number		Age
Clinical data group	Osteoporosis	943	2188	65.67 \(\pm\) 9.691
Clinical data group	Normal	1245	2188	55.77 \(\pm\) 10.066
Image group	Osteoporosis	126	268	65.66 \(\pm\) 8.394
Image group	Normal	142	268	58.61 \(\pm\) 9.912
Combination group	Osteoporosis	117	246	65.68 \(\pm\) 7.976
Combination group	Normal	129	246	58.50 \(\pm\) 10.152

Age was expressed as mean \(\pm\) standard deviation and P-value was used to compare the difference between individuals with osteoporosis and normal BMD in age

ISSN: 1471-2105