Machine learning-based prediction of clinical outcomes after traumatic brain injury: Hidden information of early physiological time series.

Our study highlights the importance of early-stage PTS signals in predicting TBI patient outcomes. The integration of interpretable algorithms and simplified prediction tools can support treatment decision-making, contributing to the development of accurate prediction models and timely clinical intervention.