Machine learning based on nutritional assessment to predict adverse events in older inpatients with possible sarcopenia
Machine learning prediction models are feasible and effective for identifying adverse events, and may be helpful to guide clinical nutrition decision-making in older inpatients with possible sarcopenia.
Authors
- Mingwei Zhu (ORCID: https://orcid.org/0000-0002-4475-7561)
- Hongyun Huang (ORCID: https://orcid.org/0000-0002-6507-5703)
- Moxi Chen
- Chengyu Liu (ORCID: https://orcid.org/0000-0003-1965-3020)
- Jianchun Yu (ORCID: https://orcid.org/0000-0002-4087-2140)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
Publication Details
- Journal
- Aging Clinical and Experimental Research
- Published
- 2025-02-22
- DOI
- https://doi.org/10.1007/s40520-024-02916-2
- Citations
- 1
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- National Key Research and Development Program of China