Machine Learning-Based Prediction of Post-Operative Systemic Inflammatory Response Syndrome Following Pediatric Percutaneous Nephrolithotripsy
The LightGBM-based model effectively predicts postoperative SIRS in pediatric PCNL patients, providing a tailored tool for this population. The online prediction platform might be useful to guide clinical decision making.
Authors
- Bide Liu (ORCID: https://orcid.org/0000-0002-7296-5907)
- Qiang Dong (ORCID: https://orcid.org/0000-0003-1986-8961)
- Xun Li
- Shuheng Wang (ORCID: https://orcid.org/0000-0003-3705-8372)
- Zewei Liu (ORCID: https://orcid.org/0000-0002-2700-0831)
- Nueraili Abudurexiti
- Maimaitiaili Batuer
Institutions
- People's Hospital of Xinjiang Uygur Autonomous Region (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2025-05-01
- DOI
- https://doi.org/10.2147/jir.s518631
- Citations
- 1
- Primary Topic
- Kidney Stones and Urolithiasis Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.52