Interpretable Multiomics Models for Predicting Surgical Interventions and Blood Transfusion Requirements in Traumatic Brain Injury.

ABSTRACT: Accurately predicting surgical and transfusion needs in traumatic brain injury (TBI) patients remains challenging in emergency settings. We developed multiomics data fusion (MDF) models integrating clinical biomarkers, neural radiological imaging, and clinical text mining for predicting surgical intervention and blood transfusion requirements across four multicenter cohorts (N = 2219). The MDF models provided predictions a median of 3 hours before interventions, with surgical model F1 scores of 0.63-0.85 across external testing, outperforming single-domain approaches. The transfusion model demonstrated strong cross-center performance (validation/external F1 scores: 0.78, 0.74) and correlated well with actual transfusion volumes (validation: R = 0.687, external: R = 0.580). SHapley additive

SUBMITTER: Deng J 

PROVIDER: S-EPMC12630585 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature