Machine learning-based prediction of emergency neurosurgery within 24 h after moderate to severe traumatic brain injury.

Authors:
Moyer JD; Lee P; Bernard C; Henry L; Lang E and 6 more

Journal:
World J Emerg Surg

Publication Year: 2022

DOI:
10.1186/s13017-022-00449-5

PMCID:
PMC9351267

PMID:
35922831

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

Transparency Score
3/6
50.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"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."

Evidence found in paper:

"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."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025