Interpretable Machine Learning for the Identification of Key Metabolic Biomarkers Associated with Newly Diagnosed Malignancies
Objective: To identify the most informative metabolic biomarkers associated with newly diagnosed cancer and to evaluate the potential of interpretable machine learning methods for their identification and patient classification. Materials and methods: This single-center retrospective study included 210 patients: 110 su...