[Retracted] Prediction Models for One-Year Survival of Adult Patients with Acute Kidney Injury: A Longitudinal Study Based on the Data from the Medical Information Mart for Intensive Care III Database
Table 6
Establishment of the random forest models.
Character
Model
Training set
Testing set
Sensitivity (95% CI)
PLR
0.969 (0.962–0.975)a
0.834 (0.809–0.859)
NLR
0.937 (0.927–0.946)a
0.826 (0.801–0.851)
NPAR
0.911 (0.901–0.922)a
0.849 (0.825–0.873)
PNI
0.981 (0.976–0.986)
0.836 (0.812–0.861)
Specificity (95% CI)
PLR
0.740 (0.720–0.760)a
0.529 (0.491–0.568)
NLR
0.666 (0.644–0.687)a
0.528 (0.489–0.566)
NPAR
0.815 (0.797–0.833)a
0.523 (0.485–0.561)
PNI
0.781 (0.763–0.800)
0.542 (0.503–0.580)
PPV (95% CI)
PLR
0.841 (0.828–0.854)a
0.701 (0.673–0.729)
NLR
0.799 (0.785–0.813)a
0.699 (0.671–0.727)
NPAR
0.875 (0.863–0.887)
0.702 (0.675–0.730)
PNI
0.864 (0.852–0.877)
0.708 (0.680–0.735)
NPV (95% CI)
PLR
0.944 (0.932–0.955)a
0.706 (0.666–0.747)
NLR
0.881 (0.864–0.898)a
0.696 (0.655–0.736)
NPAR
0.866 (0.850–0.882)a
0.723 (0.683–0.764)
PNI
0.966 (0.957–0.975)
0.714 (0.674–0.754)
AUC (95% CI)
PLR
0.938 (0.931–0.945)a
0.758 (0.734–0.783)
NLR
0.891 (0.882–0.901)a
0.759 (0.735–0.783)
NPAR
0.936 (0.929–0.944)a
0.768 (0.744–0.792)
PNI
0.964 (0.959–0.969)
0.778 (0.754–0.801)
Accuracy (95% CI)
PLR
0.874 (0.865–0.884)a
0.703 (0.680–0.726)
NLR
0.872 (0.862–0.881)a
0.709 (0.686–0.732)
NPAR
0.825 (0.814–0.836)a
0.698 (0.675–0.721)
PNI
0.898 (0.890–0.907)
0.710 (0.687–0.733)
a: when compared with PNI, , NPV: negative prediction value, PPV: positive prediction value, AUC: area under the curve.
