Early detection of positive urine culture in patients with urolithiasis: a machine learning model with dynamic online nomogram
This dynamic online nomogram accurately predicts positive urine cultures in patients with urolithiasis, helping clinicians identify high-risk individuals , optimize antibiotic use, and improve patient outcomes. Further validation and biomarker exploration are needed to enhance its generalizability.
Authors
- Linguo Xie (ORCID: https://orcid.org/0000-0001-7430-8639)
- Chunyu Liu (ORCID: https://orcid.org/0000-0001-5357-3716)
- Rui Wang (ORCID: https://orcid.org/0000-0002-1833-491X)
- Jingdong Zhang (ORCID: https://orcid.org/0000-0002-0711-2764)
- Di Luo
Institutions
- Second Hospital of Tianjin Medical University (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2025-08-25
- DOI
- https://doi.org/10.1080/07853890.2025.2550582
- Citations
- 1
- Primary Topic
- Urinary Tract Infections Management
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- National Natural Science Foundation of China