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Multicohort development and validation of a machine learning model to predict six-month functional traumatic brain injury outcomes in a large national registry

2026-04-27

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Prognostication after moderate-to-severe traumatic brain injury (TBI) rarely captures long-term functional recovery, despite its importance to patients, families, and clinicians. Large trauma registries such as the Trauma Quality Improvement Program (TQIP) dataset contain detailed clinical data but lack systematic follow-up, limiting their ability to study longer-term functi...

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Literature Corpus work
5d25926f-dd0f-59cd-a337-0efc6ab4f42b
DOI
10.64898/2026.04.23.26351622
Open publication

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Multicohort development and validation of a machine learning model to predict six-month functional traumatic brain injury outcomes in a large national registryDOI 10.64898/2026.04.23.26351622
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