Development, validation and clinical utility of prognostic models for patients with traumatic brain injury in an Indian setting using machine learning and traditional approaches: a study protocol

This study will develop and validate prognostic models using traditional and machine learning methods tailored to the Indian TBI context. Multicentric, prospectively collected data will enhance generalisability, while clinical utility will be evaluated through DCA. Adherence to Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis + Artificial Intelligence (TRIPOD+AI) guidelines ensures methodological transparency. With external validation, these models may improve clinical decision-making, resource planning and patient-family communication in diverse Indian healthcare settings.