326
Views
0
CrossRef citations to date
0
Altmetric
Endocrinology

Regarding: LASSO-derived model for the prediction of lean-non-alcoholic fatty liver disease in examinees attending a routine health check-up

ORCID Icon & ORCID Icon
Article: 2350628 | Received 05 Apr 2024, Accepted 25 Apr 2024, Published online: 10 May 2024

References

  • Hsu CL, Wu PC, Wu FZ, et al. LASSO-derived model for the prediction of lean-non-alcoholic fatty liver disease in examinees attending a routine health check-up. Ann Med. 2024; 56(1):1. doi: 10.1080/07853890.2024.2317348.
  • Tang L, Song PXK. Fused lasso approach in regression coefficients clustering - learning parameter heterogeneity in data integration. J Mach Learn Res. 2016;17:113.
  • Ranganai E, Mudhombo I. Variable selection and regularization in quantile regression via minimum covariance determinant based weights. Entropy (Basel). 2020;23(1):33. doi: 10.3390/e23010033.
  • Chen LW, Huang PR, Chien CH, et al. A community-based study on the application of fatty liver index in screening subjects with nonalcoholic fatty liver disease. J Formos Med Assoc. 2020;119(1 Pt 1):173–3. doi: 10.1016/j.jfma.2019.03.016.
  • Han B, Lee GB, Yim SY, et al. Non-alcoholic fatty liver disease defined by fatty liver index and incidence of heart failure in the Korean population: a nationwide cohort study. Diagnostics (Basel). 2022;12(3):663. doi: 10.3390/diagnostics12030663.