From: Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach
Predictive equation for clinical outcomes at discharge | Study patients (N = 50) | New patients (LOOCV) | ||
---|---|---|---|---|
R2\( \left({\boldsymbol{R}}_{\boldsymbol{adj}}^{\mathbf{2}}\right) \) | MAE (MAEn) | MAE (MAEn) | ||
FIM | 60.14 + 2.23 ∗ TMWT + 0.35 ∗ FIM + 0.5 ∗ BBS − 0.24 ∗ age − 0.02 ∗ TSA + 0.8 ∗ EDU − 1.71 ∗ LI − 0.05 ∗ BMI − 10.6 ∗ HM − 3.76 ∗ SI | 0.76 (0.70) | 7.6 (0.10) | 10.2 (0.13) |
TMWT (m/s) | −0.16 + 0.7 ∗ TMWT + 0.01 ∗ FIM − 0.003 ∗ TSA + 0.02 ∗ EDU + 0.44 ∗ HIS − 0.15 ∗ LI | 0.70 (0.66) | 0.26 (0.13) | 0.3 (0.15) |
SMWT (m) | 190.83 + 101.72 ∗ TMWT + 1.03 ∗ BBS + 0.54 ∗ SMWT − 2.21 ∗ age | 0.70 (0.67) | 73.2 (0.13) | 80.8 (0.14) |
BBS | 13.27 + 10.1 ∗ TMWT + 0.33 ∗ FIM + 0.21 ∗ BBS − 0.24 ∗ age − 0.08 ∗ TSA + 0.42 ∗ EDU − 5.57 ∗ WHT − 1.96 ∗ LI | 0.77 (0.73) | 6.4 (0.11) | 7.4 (0.14) |