Research Article
Risk Assessment of Hip Fracture Based on Machine Learning
Table 5
Attributes obtained from the FE analysis of the side fall.
| | FE analysis attributes | | | Attribute | Description | Fractured | Control |
| | N = neck; T = trochanter | | () | () | | LSR | Load-to-strength-ratio | | | | FS (N) | Femoral strength | | | | S1_N (MPa) | Maximum principal stress | | | | S3_N (MPa) | Minimum principal stress | | | | E1_N (μstrain) | Maximum principal strain | | | | E3_N (μstrain) | Minimum principal strain | | | | MPStress_N (MPa) | Major principal stress | | | | MPStrain_N (μstrain) | Major principal strain | | | | SDE_N (J/m3) | Strain energy density | | | | S1_T (MPa) | Maximum principal stress | | | | S3_T (MPa) | Minimum principal stress | | | | E1_T (μstrain) | Maximum principal strain | | | | E3_T (μstrain) | Minimum principal strain | | | | MPStress_T (MPa) | Major principal stress | | | | MPStrain_T (μstrain) | Major principal strain | | | | SDE_T (J/m3) | Strain energy density | | | | FRI_N (μstrain) | Fracture risk index | | | | FRI_T (μstrain) | Fracture risk index | | |
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