Explainable machine learning model for predicting traumatic brain injury-induced coagulopathy in elderly patients: A multicenter cohort study

Key Points

• The model forecasts coagulopathy effectively in elderly patients with traumatic brain injury.
• An optimized machine learning model—TBI-IC index—was developed for accurate diagnosis and guidance.
• Assessments utilized a multicenter cohort providing insights across diverse healthcare settings.
• This tool may enhance early intervention and management strategies for traumatic brain injury.

Abstract