Machine learning model using immune indicators to predict outcomes in early liver cancer

Figure 1 Modeling process. A: Top ten most important predictors based on random survival forests (RSF) analysis: Importance scores; B: Error rate and out-of-bag variable importance ranking from the RSF analysis; C: Predictors based on RSF analysis; D: Construction and specific structure of the artificial neural networks model. LMR: Lymphocyte-to-monocyte ratio; PLR: Platelet-to-lymphocyte ratio; ALBI: Albumin-bilirubin; AFP: Alpha-Fetoprotein; INR: International normalized ratio.