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Feature importance in 60-day mortality prediction for patients (all cancer and by cancer sites). The importance score is based on the relative contribution to the model performance of each feature during the optimal classification trees training process. The 10 most important predictors are shown in this figure. Abl1, Abelson murine leukemia viral oncogene homolog 1 gene (ABL proto-oncogene 1); AFP, alpha-fetoprotein; CA, cancer antigen.
