Figure 1.

Important feature selection using random forest (The top eight features selected from random forest were used to build hospital readmissions risk prediction models. A higher “Mean Decrease in Gini” in x-axis indicates a higher purity (less noise, less bias) contributed by variable, and higher variable importance).