Development and validation of a high-performance clinical predictive model for early identification of non-alcoholic fatty liver disease
This study's results confirm the effective creation of an NAFLD predictive tool boasting high calibration accuracy and outstanding performance. Leveraging readily available clinical data, the model offers a scalable, economical approach to NAFLD, poised to pioneer a new paradigm for its precise prevention and control, and enable personalized prevention and efficient resource allocation.
Authors
- Tong Liang (ORCID: https://orcid.org/0000-0001-7024-0737)
- Junli Ren
Institutions
- Gansu University of Traditional Chinese Medicine (CN)
- Gansu Provincial Maternal and Child Health Hospital (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2026-02-12
- DOI
- https://doi.org/10.3389/fphys.2026.1689882
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00