ALB and neoplasm: Two studies assessed whether a machine learning can accurately predict prognosis in patients with advanced cancer.22 23 The Number of active tumors (“N”), Eastern Cooperative Oncology Group performance status (“E”), albumin (“A”) and primary tumor site (“T”) (NEAT) model provided better accurate prognostic predictions which was statistically significant, compared with experienced oncology physicians and nurses.22