Machine learning-based disease risk stratification and prediction of metabolic dysfunction-associated fatty liver disease using vibration-controlled transient elastography: Result from NHANES 2021–2023
Our machine learning model has excellent performance in stratification of risk for MAFLD with readily available clinical and demographic parameters. This model could be employed as a valuable screening tool to refer high-risk patients for further hepatological evaluation.
Authors
- Yu Luo
- Mengqi Wu (ORCID: https://orcid.org/0000-0003-3515-9743)
- Lirong Hu (ORCID: https://orcid.org/0000-0002-9174-0623)
- Liqiong Huang
- Li Zhang (ORCID: https://orcid.org/0009-0005-3944-4113)
Institutions
- Sichuan Provincial Hospital of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- BMC Gastroenterology
- Published
- 2025-04-14
- DOI
- https://doi.org/10.1186/s12876-025-03850-x
- Citations
- 8
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 10.83