Machine learning-based prediction of emergency neurosurgery within 24 h after moderate to severe traumatic brain injury.
Journal Information
Full Title: World J Emerg Surg
Abbreviation: World J Emerg Surg
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Subject Category: General Surgery
Available in Europe PMC: Yes
Available in PMC: Yes
PDF Available: No
Related Papers from Same Journal
Transparency Score
Transparency Indicators
Click on green indicators to view evidence textCore Indicators
"Declarations Ethics approval and consent to participateThe TraumaBase® obtained ethical approval from the Institutional Review Board (Prof. Laurent Capelle, Paris Cedex 13, France; Comité de Protection des Personnes, Paris VI), the Advisory Committee on Information Processing in Health Research (CCTIRS, 11.305bis), and the National Commission on Informatics and Liberties (CNIL, 911461). Consent for publicationNot applicable. Competing interestsTG declares consulting fees from Laboratoire du Biomédicament in the past. Competing interests TG declares consulting fees from Laboratoire du Biomédicament in the past."
"Funding The study received no specific funding. Cap Gemini Invent provided human resource and data science and statistical expertise in the framework of a non-profit research consortium (Traumatrix.fr). Some participating centers receive regular funding for the registry from the Agence-Régionale Ile de France and Agence Régionale Est."
Additional Indicators
Assessment Info
Tool: rtransparent
OST Version: N/A
Last Updated: Aug 05, 2025