GPT and liver disorder: Supplementary Figure S1 highlights that the most significant covariates distinguishing the non-SIMI and SIMI groups. In the ML section, we utilized LASSO variable selection to construct a more parsimonious model. We selected a lambda of 0.057300 at one standard error, which resulted in eight variables [creatine kinase-myocardial band (CKMB) first, creatinine first, alanine aminotransferase (ALT) first, lactate first, blood urea nitrogen (BUN) first, temperature first, vasopressor use, and liver disease] for building the ML model, as illustrated in Figures 2B,C.