Your browser doesn't support javascript.
loading
Comparison of machine learning models to predict long-term outcomes after severe traumatic brain injury.
Arefan, Dooman; Pease, Matthew; Eagle, Shawn R; Okonkwo, David O; Wu, Shandong.
Affiliation
  • Arefan D; 1Department of Radiology.
  • Pease M; 2Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh; and.
  • Eagle SR; 2Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh; and.
  • Okonkwo DO; 2Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh; and.
  • Wu S; 1Department of Radiology.
Neurosurg Focus ; 54(6): E14, 2023 06.
Article in En | MEDLINE | ID: mdl-37552699
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Injuries / Brain Injuries, Traumatic Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Neurosurg Focus Journal subject: NEUROCIRURGIA Year: 2023 Document type: Article Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Injuries / Brain Injuries, Traumatic Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Neurosurg Focus Journal subject: NEUROCIRURGIA Year: 2023 Document type: Article Country of publication: United States