Development and external validation of a machine-learning based model to predict pre-sarcopenia in MASLD population: Results from NHANES 2017–2018
This study proposed a user-friendly model using explainable machine learning algorithm to predict pre-sarcopenia in MASLD population. A web-based tool was provided to screening pre-sarcopenia in community and hospitalization settings.
Authors
- Jin Long (ORCID: https://orcid.org/0000-0002-6225-727X)
- Siwei Yang (ORCID: https://orcid.org/0000-0003-3392-2784)
- Tianhao Su (ORCID: https://orcid.org/0000-0003-3092-2535)
- Jian Li (ORCID: https://orcid.org/0000-0002-6223-9493)
- Yuefeng Hu (ORCID: https://orcid.org/0009-0000-8061-4544)
- Jianan Yu (ORCID: https://orcid.org/0000-0002-9349-936X)
- Xuedong Sun (ORCID: https://orcid.org/0000-0002-6272-4667)
- Qiyang Chen
Institutions
- Beijing Tongren Hospital (CN)
- Capital Medical University (CN)
- Beijing Friendship Hospital (CN)
Publication Details
- Journal
- Annals of Hepatology
- Published
- 2024-10-05
- DOI
- https://doi.org/10.1016/j.aohep.2024.101585
- Citations
- 6
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 1.96