Machine Learning in Predicting the Cognitive Improvement of Ventriculoperitoneal Shunt for Chronic Normal Pressure Hydrocephalus After Aneurysmal Subarachnoid Hemorrhage
VPS benefits in CNPH patients after ASAH were associated with disease course, CSF pressure, red blood cell/WBC counts in CSF, WBC count in blood, MF and HH grades, and preoperative mRS. The XGB model demonstrated optimal predictive performance, with an area under the curve of 0.946.
Authors
- Shengjie Feng (ORCID: https://orcid.org/0000-0002-4391-3526)
- Lingyang Hua (ORCID: https://orcid.org/0000-0002-1003-9289)
- Shiheng Su
- Feng Zhao (ORCID: https://orcid.org/0000-0002-8309-0536)
- Choi Bo
- Youjia Zhu
- Qian Yang (ORCID: https://orcid.org/0000-0002-1275-8244)
- Xue Lin (ORCID: https://orcid.org/0000-0001-7934-5682)
- Yin Li (ORCID: https://orcid.org/0000-0002-4754-2814)
Institutions
- Fudan University (CN)
- Huashan Hospital (CN)
Publication Details
- Journal
- World Neurosurgery
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1016/j.wneu.2025.123771
- Primary Topic
- Cerebrospinal fluid and hydrocephalus
- Type
- article
- Field-Weighted Citation Impact
- 0.00