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Comparative analysis of CRASH and IMPACT in predicting the outcome of 340 patients with traumatic brain injury.

Tingting AnZibei DongXiangyang LiYifan MaJie JinLiqing LiLanjuan Xu
Published in: Translational neuroscience (2024)
Both the CRASH and IMPACT algorithms offer reliable prognostic estimations for patients suffering from craniocerebral injuries. However, compared to the CRASH model, the IMPACT model has superior predictive accuracy, albeit at the cost of increased computational intricacy.
Keyphrases
  • traumatic brain injury
  • end stage renal disease
  • chronic kidney disease
  • ejection fraction
  • machine learning
  • peritoneal dialysis
  • prognostic factors
  • deep learning