Machine learning-based prediction of hospital-acquired malnutrition at discharge using the GLIM criteria: A multicenter real-world study.
- DOI
- 10.1016/j.nut.2026.113413
- Published
- 2026 Oct 14
- Container
- Nutrition (Burbank, Los Angeles County, Calif.)
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.nut.2026.113413,
title = {Machine learning-based prediction of hospital-acquired malnutrition at discharge using the GLIM criteria: A multicenter real-world study.},
author = {Li Y and Luan X and Li Y and Chen L and Liu P and Zhu M},
year = {2026},
journal = {Nutrition (Burbank, Los Angeles County, Calif.)},
doi = {10.1016/j.nut.2026.113413},
url = {https://doi.org/10.1016/j.nut.2026.113413}
}RIS
TY - JOUR TI - Machine learning-based prediction of hospital-acquired malnutrition at discharge using the GLIM criteria: A multicenter real-world study. AU - Li Y AU - Luan X AU - Li Y AU - Chen L AU - Liu P AU - Zhu M PY - 2026 JO - Nutrition (Burbank, Los Angeles County, Calif.) DO - 10.1016/j.nut.2026.113413 UR - https://doi.org/10.1016/j.nut.2026.113413 ER -
APA
Y, L., X, L., Y, L., L, C., P, L., & M, Z. (2026). Machine learning-based prediction of hospital-acquired malnutrition at discharge using the GLIM criteria: A multicenter real-world study.. Nutrition (Burbank, Los Angeles County, Calif.). https://doi.org/10.1016/j.nut.2026.113413
Source records
- pubmed · retrieved 2026-11-10T11:40:08.364Z
- europe-pmc · retrieved 2026-11-10T11:40:08.367Z