Prediction of favorable outcomes of acute basilar artery occlusion using machine learning
This study established a machine learning model to identify predictors of favorable outcomes in patients with acute BAO. Significant factors influencing prognosis included the use of mechanical ventilation, tracheotomy, NIHSS score, and preoperative SCR levels.
Authors
- Raynald
- Yuanyue Lu (ORCID: https://orcid.org/0000-0001-6222-5924)
- Yi Liu (ORCID: https://orcid.org/0009-0006-3223-1446)
- Xiuping Li (ORCID: https://orcid.org/0000-0002-7091-5439)
- Weiming Liu (ORCID: https://orcid.org/0000-0002-6245-6287)
- Yanqin Liu
- Bin Han (ORCID: https://orcid.org/0009-0005-9584-0946)
- Yaxuan Sun (ORCID: https://orcid.org/0000-0001-6529-5012)
- Tingting Song (ORCID: https://orcid.org/0000-0002-2970-0129)
- Pengyu Lu (ORCID: https://orcid.org/0000-0002-4212-3231)
- Peng Zhang (ORCID: https://orcid.org/0000-0001-8344-101X)
Institutions
- Shanxi Medical University (CN)
- Beijing Tian Tan Hospital (CN)
- Fifth Tianjin Central Hospital (CN)
- Tianjin Huanhu Hospital (CN)
- Shanxi Province Hospital of Traditional Chinese Medicine (CN)
- Beijing Institute of Neurosurgery (CN)
- Taiyuan Central Hospital (CN)
- Shanxi Provincial Children's Hospital (CN)
- Shanxi Provincial People’s Hospital (CN)
- Shanxi Cardiovascular Hospital (CN)
Publication Details
- Journal
- Journal of NeuroInterventional Surgery
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1136/jnis-2025-023347
- Citations
- 1
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 1.35