Skip to main content
. 2020 Nov 26;4(Suppl 1):73–86. doi: 10.1159/000511531

Table 2.

Performance of predictive models in the task of discriminating participants between a faster (“0–2 months”) and slower (“≥3 months”) track of mobility recovery

Experiment scenario (post-/pre-operative wearable PGHD availability) Tendon or ligament repair/reconstruction surgery
AUROC
AUPRC
mean (SD) median (min.-max.) mean (SD) median (min.-max.)
(1) No post-op, no pre-op 0.473 (0.108) 0.489 (0.114–0.669) 0.569 (0.059) 0.563 (0.428–0.727)
(2) No post-op, 6 months pre-op 0.497 (0.096) 0.498 (0.266–0.734) 0.596 (0.068) 0.596 (0.453–0.741)
(3) 4 weeks post-op, no pre-op 0.705 (0.089) 0.701 (0.510–0.929) 0.784 (0.076) 0.799 (0.598–0.947)
(4) 4 weeks post-op, 6 months pre-op 0.724 (0.095) 0.734 (0.442–0.942) 0.795 (0.077) 0.800 (0.576–0.960)
(5) 6 months post-op, no pre-op 0.712 (0.084) 0.716 (0.542–0.929) 0.798 (0.067) 0.806 (0.628–0.937)
(6) 6 momths post-op, 6 months pre-op 0.710 (0.096) 0.721 (0.435–0.942) 0.786 (0.080) 0.791 (0.542–0.960)

Results are shown across 6 experiment scenarios in which different data availability was assumed (in each case, age and gender demographic information was used), and across surgery types considered.