Machine learning approaches for predicting prolonged hospital length of stay after lumbar fusion surgery in patients aged 75 years and older: a retrospective cohort study based on comprehensive geriatric assessment
This ML model could facilitate individual risk prediction and risk factor identification for PLOS in older patients undergoing lumbar fusion surgery, with the potential to improve preoperative optimization.
Authors
- Shuaikang Wang (ORCID: https://orcid.org/0000-0001-5232-2456)
- Shibao Lu (ORCID: https://orcid.org/0000-0001-7052-7041)
- Qijun Wang (ORCID: https://orcid.org/0000-0003-1467-5669)
- Peng Wang (ORCID: https://orcid.org/0000-0003-1824-2545)
Institutions
- Capital Medical University (CN)
Publication Details
- Journal
- Neurosurgical FOCUS
- Published
- 2025-07-01
- DOI
- https://doi.org/10.3171/2025.4.focus24614
- Citations
- 1
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.39