Development and validation of machine learning-based risk prediction models for ICU-acquired weakness: a prospective cohort study
A machine learning prediction model can be developed, leveraging its robust learning capabilities to identify patients at high risk of developing ICUAW. This approach facilitates standardized management of ICUAW, thereby potentially reducing its incidence.
Authors
- Qiulan Hu (ORCID: https://orcid.org/0000-0001-5663-6188)
- Yimei Zhang
- Min Zhou (ORCID: https://orcid.org/0000-0002-6831-3033)
- Fang Ma (ORCID: https://orcid.org/0000-0002-8849-0803)
- Qinglan Li (ORCID: https://orcid.org/0000-0002-6090-6408)
- Jiafei Lu
- Yu Wang (ORCID: https://orcid.org/0009-0008-6272-8714)
- Jingran Yang (ORCID: https://orcid.org/0009-0002-1698-2603)
Institutions
- Kunming Medical University (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1186/s40001-025-02930-8
- Citations
- 1
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Kunming Medical University