Fig. 3: Random survival forest model for impact of clinical and/or genetic variables as well as pairwise interactions on prognosis. | Leukemia

Fig. 3: Random survival forest model for impact of clinical and/or genetic variables as well as pairwise interactions on prognosis.

From: Genomic landscape of patients with FLT3-mutated acute myeloid leukemia (AML) treated within the CALGB 10603/RATIFY trial

Fig. 3

Prognostic and potential predictive impact of 18 most relevant clinical and/or genetic variables (A, B) and pairwise interactions (C, D) in 475 patients on overall and event-free survival using random survival forests. The prognostic impact of a variable is measured via VIMP (variable importance). Higher VIMP values indicate that a variable may have prognostic impact on the survival endpoint. EFS event-free survival, OS overall survival.

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