Observational Study
Copyright ©The Author(s) 2025.
World J Gastroenterol. Jul 28, 2025; 31(28): 108321
Published online Jul 28, 2025. doi: 10.3748/wjg.v31.i28.108321
Figure 1
Figure 1 Flowchart for the selection of study subjects. The development process of the model is shown above. Regarding the left part of the figure, based on the data of 222 children with nonalcoholic fatty liver disease (NAFLD), a tertiary hospital screening model was established via variable screening and combination; regarding the right part of the figure, screening models for community health centers were developed based on the data of 101 NAFLD children using the same method. NAFLD: Nonalcoholic fatty liver disease; HDL: High-density lipoprotein cholesterol; BMI: Body mass index; UA: Uric acid; ML: Machine learning.
Figure 2
Figure 2 Graphical abstract. ATS was a logistic regression model developed in this study that included six parameters: Alkaline phosphatase, total bile acid, aspartate aminotransferase, cholinesterase, high-density lipoprotein cholesterol, and fibrinogen. ML: Machine learning.