Random Forest Prognostication of Survival and 6-Month Outcome in Pediatric Patients Following Decompressive Craniectomy for Traumatic Brain Injury
CRF and SRF models successfully predicted 6-month outcomes and mortality following DC in pediatric patients with TBI. These results suggest that random forest models may be efficacious for predicting outcome in this patient population.
Authors
- Ryan D. Morgan (ORCID: https://orcid.org/0000-0002-0220-2314)
- Brandon Youssi
- László Nagy
- Rafael Cação (ORCID: https://orcid.org/0009-0007-6904-6268)
- Cristian Hernandez
Institutions
- Texas Tech University (US)
- Texas Tech University Health Sciences Center (US)
Publication Details
- Journal
- World Neurosurgery
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1016/j.wneu.2024.10.075
- Citations
- 2
- Primary Topic
- Traumatic Brain Injury and Neurovascular Disturbances
- Type
- article
- Field-Weighted Citation Impact
- 0.74