Machine Learning Models to Predict Withdrawal of Life-Sustaining Therapy in Patients With Severe Traumatic Brain Injury

Journal article

Peer reviewed

Michael Cobler-Lichter, Jessica M Delamater, Fernanda J P Teixeira, Ana M Reyes, Talia R Arcieri, Brian Manolovitz, John A McKeown, Tulay Koru-Sengul, Jonathan Jagid, Joacir Graciolli Cordeiro, …

Neurology, Vol.106(2), e214588

2026-01-27

PMID: 41418098

Files and links (1)

url

https://doi.org/10.1212/WNL.0000000000214588View

Published (Version of record) Open

1 Record Views

Title: Machine Learning Models to Predict Withdrawal of Life-Sustaining Therapy in Patients With Severe Traumatic Brain Injury
Creators: Michael Cobler-Lichter
Jessica M Delamater
Fernanda J P Teixeira
Ana M Reyes
Talia R Arcieri
Brian Manolovitz
John A McKeown
Tulay Koru-Sengul
Jonathan Jagid
Joacir Graciolli Cordeiro
Nina Massad
Mohan Kottapally
Amedeo Merenda
Kristine O'Phelan
Nicholas Namias
Ayham Alkhachroum
Publication Details: Neurology, Vol.106(2), e214588
Publisher: LIPPINCOTT WILLIAMS & WILKINS; PHILADELPHIA
Number of pages: 1
Academic Unit: UMMG Dept of Neurological Surgery; Miller School of Medicine; UMMG Department of Neurology; UMMG Department of Surgery; UMMG Dept of Surgery - Div of Trauma & Surgical Critical Care Services; UMMG Department of Public Health Sciences Research; UMMG Dept of Neurology - Neurocritical Care Div
Language: English
Resource Type: Journal article
PMID: 41418098
Record Identifier: 991032904044702976