Copyright
©The Author(s) 2024.
World J Methodol. Sep 20, 2024; 14(3): 91058
Published online Sep 20, 2024. doi: 10.5662/wjm.v14.i3.91058
Published online Sep 20, 2024. doi: 10.5662/wjm.v14.i3.91058
Figure 1 Correlation plots for special investigations vs liver stiffness measurement.
A: Serum fibronectin vs liver stiffness measurement (LSM); B: Alanine aminotransferase ratio (AAR) vs LSM; C: Aspartate aminotransferase to platelet ratio index (APRI) vs LSM; D: Fibrosis-4 (FIB-4) vs LSM. ALT: Alanine aminotransferase; AST: Aspartate aminotransferase.
Figure 2 Receiver operating characteristic curves.
A: Fibrosis; B: Severe fibrosis; C: Moderate fibrosis; D: Mild fibrosis. S. Fibronectin: Serum fibronectin.
Figure 3 Regression plot.
Figure 4 Bayesian dependency plots.
A: Dependency network for non-invasive indices and liver fibrosis created using tree-augmented naïve Bayesian technique; B: Fibrosis; C: Severe fibrosis; D: Moderate fibrosis; E: Mild fibrosis.
- Citation: Kaur N, Goyal G, Garg R, Tapasvi C, Demirbaga U. Ensemble for evaluating diagnostic efficacy of non-invasive indices in predicting liver fibrosis in untreated hepatitis C virus population. World J Methodol 2024; 14(3): 91058
- URL: https://www.wjgnet.com/2222-0682/full/v14/i3/91058.htm
- DOI: https://dx.doi.org/10.5662/wjm.v14.i3.91058