BioMed Research International / 2018 / Article / Tab 3 / Research Article
Predicting Advanced Prostate Cancer from Modeling Early Indications in Biopsy and Prostatectomy Samples via Transductive Semi-Supervised Survival Analysis Table 3 Weights of features in models.
ā Cox Model Cox Model with Transduction SVRc SVRc with Transduction Feature Original Weight Normalized Weight Original Weight Normalized Weight Original Weight Normalized Weight Original Weight Normalized Weight Clinical Stage 0.314 0.217 0.355 0.316 -2.939 -0.12 -4.496 -0.197 PSA 0.743 0.513 0.818 0.728 -10.329 -0.423 -8.397 -0.368 Dominant Biopsy Gleason Grade -0.198 -0.137 0.134 0.119 -3.909 -0.16 -8.193 -0.359 Biopsy Gleason Sum 1.448 1 1.124 1 -24.394 -1 -22.826 -1 Dominant Prostatectomy Gleason Grade 0.872 0.602 1.002 0.891 -4.363 -0.179 -6.433 -0.282 Prostatectomy Gleason Sum 0.073 0.05 -0.139 -0.123 -11.852 -0.486 -8.784 -0.385 Seminal Vesicle Invasion 0.747 0.516 0.796 0.708 -23.926 -0.981 -25.963 -1.137 Surgical Margin Status 0.306 0.212 0.261 0.232 -2.778 -0.114 -3.964 -0.174 Extra Capsular Extension Status 0.198 0.137 0.161 0.143 -4.259 -0.175 -3.499 -0.153