Personalised screening tool for early detection of sarcopenia in stroke patients: a machine learning-based comparative study
A predictive model, presented as a nomogram and an online risk calculator, was developed to assess sarcopenia risk in patients with stroke. Early screening using this model may facilitate timely interventions and improve patient outcomes.
Authors
- Huan Yan (ORCID: https://orcid.org/0000-0003-3000-1728)
- Juan Li (ORCID: https://orcid.org/0009-0006-8125-7538)
- Yujie Li (ORCID: https://orcid.org/0000-0001-8513-8428)
- Ting Lu
- Huan Tang (ORCID: https://orcid.org/0000-0002-0244-3169)
- Xuejiao Zhao (ORCID: https://orcid.org/0000-0002-0185-1558)
- Lihong Xian
Institutions
- Guizhou University (CN)
- Zunyi Medical University (CN)
- Guizhou Provincial People's Hospital (CN)
Publication Details
- Journal
- Aging Clinical and Experimental Research
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1007/s40520-025-02945-5
- Citations
- 4
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 4.66
Funders
- National Natural Science Foundation of China