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Table 4 Performance of ensemble machine learning model for probability of HCC development within 9 years in subgroups of patients with preexisting medical conditions: alcoholic or non-alcoholic fatty liver disease, and diabetes mellitus

From: Prediction of the risk of developing hepatocellular carcinoma in health screening examinees: a Korean cohort study

Model Subset of selected risk factors CV or OOB error in the training cohort Validation in the test cohort
Value (±SD) AUC (95% CI)
DM subgroup Age, sex, ALT, GGT, CLD, HIV, Schizophrenia 0.873 (±0.006) 0.851 (0.794–0.863)
NAFLD subgroup Age, Sex, Income, ALT, GGT, cholesterol, CLD, CVH, HIV 0.882 (±0.006) 0.853 (0.801–0.822)
AFLD subgroup Age, Sex, FHx of CLD, ALT, cholesterol, CLD, CVH, HIV 0.874 (±0.006) 0.849 (0.837–0.861)
  1. HCC hepatocellular carcinoma, CV cross validation, OOB out-of-bag, SD standard deviation, AUC area under receiver operating characteristics curve, CI confidence interval, DM diabetes mellitus, NAFLD non-alcoholic fatty liver disease, AFL alcoholic fatty liver disease, ALT alanine aminotransferase, GGT gamma-glutamyl transferase, CLD chronic liver disease, HIV human immunodeficiency virus, CVH chronic viral hepatitis, FHx family history