The Value of Machine Learning Models in Predicting Factors Associated with the Need for Permanent Shunting in Patients with Intracerebral Hemorrhage Requiring Emergency Cerebrospinal Fluid Diversion
This research demonstrates that machine learning models can effectively predict the need for permanent CSF diversion in patients with ICH who underwent external ventricular drain placement for urgent CSF diversion, offering important prognostic insights that could facilitate early intervention and lead to potential cost reductions.
Authors
- Farid Moradi
- Michael T. Lawton (ORCID: https://orcid.org/0000-0002-1887-3980)
- Alireza Abdi
- Ehsan Alimohammadi (ORCID: https://orcid.org/0000-0002-6373-6248)
- Seyed Reza Bagheri
Institutions
- Barrow Neurological Institute (US)
- St. Joseph's Hospital and Medical Center (US)
- Kermanshah University of Medical Sciences (IR)
- Neurological Surgery (US)
Publication Details
- Journal
- World Neurosurgery
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1016/j.wneu.2024.10.078
- Citations
- 2
- Primary Topic
- Intracerebral and Subarachnoid Hemorrhage Research
- Type
- article
- Field-Weighted Citation Impact
- 0.74