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. 2020 Feb 10;4(3):e10337. doi: 10.1002/jbm4.10337

Table 4.

Performance in AUC of Machine Learning and FRAX Score

Total fracture p a Hip fracture p a
Machine‐learning model (CatBoost) 0.688 (0.687–0.688) 0.656 (0.655–0.656)
FRAX (major, without BMD), % 0.638 <0.001
FRAX (major, with BMD), % 0.660 <0.001
FRAX (major, with TBS), % 0.663 <0.001
FRAX (hip, without BMD), % 0.528 <0.001
FRAX (hip, with BMD), % 0.545 <0.001
FRAX (hip, with TBS), % 0.549 <0.001

AUC = area under the curve; FRAX = fracture risk assessment tool; TBS = trabecular bone score.

a

FRAX scores compared with the machine‐learning model.