Figure 3
From: Early predictive values of clinical assessments for ARDS mortality: a machine-learning approach
Importance of clinical features in the training dataset according to the estimated probability of 60-day mortality in Random Forest models. Normalized values for each single attribute (in a range of 0–100, the most important predictor variable was assigned with the value of 100) were illustrated as relative ranked features (from high to low). The training datasets from day 0 (n = 700, Panel (A)) and day 3 (n = 674, Panel (B)) with imputation were applied.
