Research Article

Predicting Advanced Prostate Cancer from Modeling Early Indications in Biopsy and Prostatectomy Samples via Transductive Semi-Supervised Survival Analysis

Table 5

Weights of features in models with multimodal characteristics.

ā€‰Cox ModelCox Model with TransductionSVRcSVRc with Transduction

FeatureOriginal WeightNormalized WeightOriginal WeightNormalized WeightOriginal WeightNormalized WeightOriginal WeightNormalized Weight

Clinical Stage0.4750.4080.5350.444-3.083-0.174-6.658-0.320

PSA0.7000.6010.8930.741-9.763-0.552-15.587-0.749

Dominant Biopsy Gleason Grade-0.094-0.0810.0390.032-4.867-0.275-6.679-0.321

Biopsy Gleason Sum1.1641.0001.2051.000-16.801-0.949-20.076-0.965

Dominant Prostatectomy Gleason Grade0.4550.3910.6430.534-7.005-0.396-7.460-0.358

Prostatectomy Gleason Sum0.2600.2230.1810.150-14.282-0.807-7.011-0.337

Seminal Vesicle Invasion0.8420.7230.8460.703-20.542-1.161-24.166-1.161

Surgical Margin Status0.3710.3190.4140.344-4.788-0.271-6.757-0.325

Extra Capsular Extension Status0.8020.6890.8920.740-6.217-0.351-6.485-0.312

AR+ Area-1.099-0.944-1.026-0.85215.2770.86317.3470.833

Cytoplasm Texture-1.195-1.026-0.931-0.77317.6991.00020.8141.000

Luminal Area-0.467-0.401-0.424-0.35210.2640.58012.0920.581

Glandular Size0.4750.4080.5350.444-3.083-0.174-6.658-0.320