Predicting the risk of postoperative constipation in middle-aged and elderly patients with lower limb fractures using machine learning algorithms
The logistic regression (LR) model developed in this study exhibits strong discriminative ability and clinical utility, enabling dynamic perioperative monitoring of constipation risk through digital health tools, thereby potentially reducing related complications.
Authors
- Xiaoyan Yang (ORCID: https://orcid.org/0000-0001-9701-8810)
- Shaoyi Du
- Xiaosheng Qin (ORCID: https://orcid.org/0000-0003-3187-7561)
- S. Li (ORCID: https://orcid.org/0000-0001-9094-6163)
- Wenqiang Li (ORCID: https://orcid.org/0000-0003-3286-7445)
- Ying Zhang (ORCID: https://orcid.org/0000-0002-8500-2958)
- Xi Wang (ORCID: https://orcid.org/0009-0009-5146-8408)
Institutions
- Southwest Medical University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-11-21
- DOI
- https://doi.org/10.1371/journal.pone.0336466
- Primary Topic
- Gastrointestinal motility and disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00