Our approach achieves clinically meaningful stratification using a model with five variables (age, anemia, CRP, ASA score, and surgical delay), substantially fewer than high-dimensional machine learning models in the literature, which feature 60+ variables [9,10]. The gene discussed is CRP; the disease is anemia (phenotype).