Machine learning for predicting metabolic-associated fatty liver disease including NHHR: a cross-sectional NHANES study
A significant positive correlation was identified between the NHHR and the CAP. The inclusion of NHHR in the XGBoost predictive model for MAFLD demonstrated robust predictive capability, providing a valuable tool for the early detection of MAFLD with considerable clinical application potential.
Authors
- C X Lin
- Liyu Lin (ORCID: https://orcid.org/0009-0008-9111-3591)
- Yirui Xie (ORCID: https://orcid.org/0000-0002-0591-4122)
- Zhuangteng Lin
- Yichun Yang
Institutions
- Guangzhou University of Chinese Medicine (CN)
- First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1371/journal.pone.0319851
- Citations
- 7
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 9.48