This study analyzed 564 NDMM patients at the time of initial admission and used machine learning to establish an infection prediction model that contained 15 important key variables, including age, ECOG score, osteolytic destruction, VCD, neutrophil count, lymphocyte count, monocyte count, hemoglobin, platelets, albumin, creatinine, lactate dehydrogenase, affected globulin, and B2 microglobulin. The gene discussed is ALB; the disease is infection.