Fig. 1

Experimental framework design. This flowchart detailed a three-step process: data preprocessing, model construction, and evaluation. Step 1 involved removing features, handling outliers, and filling missing values. Step 2 focused on feature selection using various tests and building a decision tree model with Bootstrap ROC. Step 3 evaluated the model by comparing ROC curves for imaging and tumor data