Diagnostic performance of stacking ensemble combined with SHAP interpretation for benign and malignant pulmonary space-occupying lesions

Researchers developed a stacking ensemble machine learning model combined with SHAP interpretation to improve the diagnostic accuracy of pulmonary lesions. By integrating radiological, clinical, and laboratory data, the study aims to provide a more reliable tool for identifying malignant lung conditions.