Machine learning to identify potential biomarkers for sarcopenia in liver cirrhosis

Figure 3 Receiver operating characteristic analysis of potential biomarkers for differentiating cirrhotic patients with or without sarcopenia. A: N-Acetylcarnosine with an area under the receiver operating characteristic curve (AUC) of 0.8153 (95%CI: 0.7094–0.9213, P < 0.0001); B: 2-Stearylcitrate with an AUC of 0.7387 (95%CI: 0.6046–0.8728, P = 0.0022); C: CerP (d18:1/12:0) with an AUC of 0.7085 (95%CI: 0.57–0.8469, P = 0.0076); D: 3-Methyl-alpha-ionylacetate with an AUC value of 0.7468 (95%CI: 0.6099–0.8838, P = 0.0016); E: The combined model of four metabolites with an AUC of 0.9384.